Quiz IT certification exam

Question 1

You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

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Accepted Answer

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.

Answer

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.

Answer

Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

Answer

Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.

Question 2

Your team is responsible for maintaining an application that aggregates news articles from many different sources. Your monitoring dashboard contains publicly accessible real-time reports and runs on a Compute Engine instance as a web application. External stakeholders and analysts need to access these reports via a secure channel without authentication. How should you configure this secure channel?

Accepted Answer

Add an HTTP(S) load balancer in front of the monitoring dashboard. Set up a Google-managed SSL certificate on the load balancer for traffic encryption.

Answer

Add a public IP address to the instance. Use the service account key of the instance to encrypt the traffic.

Answer

Use Cloud Scheduler to trigger Cloud Build every hour to create an export from the reports. Store the reports in a public Cloud Storage bucket.

Answer

Add an HTTP(S) load balancer in front of the monitoring dashboard. Configure Identity-Aware Proxy to secure the communication channel.

Question 3

You are planning to add unit tests to your application. You need to be able to assert that published Pub/Sub messages are processed by your subscriber in order. You want the unit tests to be cost-effective and reliable. What should you do?

Accepted Answer

Use the Pub/Sub emulator.

Answer

Implement a mocking framework.

Answer

Create a topic and subscription for each tester.

Answer

Add a filter by tester to the subscription.

Question 4

You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

Accepted Answer

Horizontal Pod Autoscaler based on an external metric

Answer

Vertical Pod Autoscaler in Auto mode

Answer

Vertical Pod Autoscaler in Recommendation mode

Answer

Horizontal Pod Autoscaler based on resources utilization

Question 5

You are using Cloud Run to host a web application. You need to securely obtain the application project ID and region where the application is running and display this information to users. You want to use the most performant approach. What should you do?

Accepted Answer

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Navigate to the Cloud Run ''Variables & Secrets'' tab, and add the desired environment variables in Key:Value format.

Answer

Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

Answer

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration information to Cloud Run's in-memory container filesystem.

Answer

Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.

Question 6

You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

Accepted Answer

1) Store the service account's key file in JSON format in Hashicorp Vault. 2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.

Answer

1) Download the service account's key file in JSON format, and store it locally on your laptop. 2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.

Answer

1) Run the following command from a command line: gcloud config set auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com. 2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.

Answer

1) Run the following command from a command line: gcloud auth application-default login. 2) In the browser window that opens, authenticate using your personal credentials.

Question 7

Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?

Accepted Answer

Create a Cloud Logging log export to Pub/Sub.

Answer

Create a Cloud Logging log export to BigQuery.

Answer

Create a Cloud Logging log export to Cloud Storage.

Answer

Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.

Question 8

You are developing a new public-facing application that needs to retrieve specific properties in the metadata of users' objects in their respective Cloud Storage buckets. Due to privacy and data residency requirements, you must retrieve only the metadata and not the object data. You want to maximize the performance of the retrieval process. How should you retrieve the metadata?

Accepted Answer

Use the fields request parameter.

Answer

Use the patch method.

Answer

Use the compose method.

Answer

Use the copy method.

Question 9

You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:* Scales automatically during popular events and maintains high availability* Is resilient in the event of hardware failuresHow should you configure the deployment parameters? (Choose two.)

Accepted Answer

Distribute your workload evenly using a multi-zonal node pool.

Accepted Answer

Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.

Answer

Distribute your workload evenly using multiple zonal node pools.

Answer

Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.

Answer

Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.

Question 10

You work at a rapidly growing financial technology startup. You manage the payment processing application written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that require customer data to reside in the country where the transaction was made. You want to minimize the cost of these deployments. What should you do?

Accepted Answer

Create a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region.

Answer

Create a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.

Answer

Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region.

Answer

Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.

Question 11

You recently joined a new team that has a Cloud Spanner database instance running in production. Your manager has asked you to optimize the Spanner instance to reduce cost while maintaining high reliability and availability of the database. What should you do?

Accepted Answer

Use Cloud Monitoring to monitor the CPU utilization, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Answer

Use Cloud Logging to check for error logs, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Answer

Use Cloud Trace to monitor the requests per sec of incoming requests to Spanner, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Answer

Use Snapshot Debugger to check for application errors, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Question 12

You recently deployed a Go application on Google Kubernetes Engine (GKE). The operations team has noticed that the application's CPU usage is high even when there is low production traffic. The operations team has asked you to optimize your application's CPU resource consumption. You want to determine which Go functions consume the largest amount of CPU. What should you do?

Accepted Answer

Modify your Go application to capture profiling data. Analyze the CPU metrics of your application in flame graphs in Profiler.

Answer

Deploy a Fluent Bit daemonset on the GKE cluster to log data in Cloud Logging. Analyze the logs to get insights into your application code's performance.

Answer

Create a custom dashboard in Cloud Monitoring to evaluate the CPU performance metrics of your application.

Answer

Connect to your GKE nodes using SSH. Run the top command on the shell to extract the CPU utilization of your application.

Question 13

Your team manages a Google Kubernetes Engine (GKE) cluster where an application is running. A different team is planning to integrate with this application. Before they start the integration, you need to ensure that the other team cannot make changes to your application, but they can deploy the integration on GKE. What should you do?

Accepted Answer

Create a new namespace in the existing cluster. Using Kubernetes role-based access control (RBAC), grant the Admin role on the new namespace to the other team.

Answer

Using Identity and Access Management (IAM), grant the Viewer IAM role on the cluster project to the other team.

Answer

Create a new GKE cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.

Answer

Create a new namespace in the existing cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.

Question 14

You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?

Accepted Answer

Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.

Answer

Wait 10 minutes, then verify that Trace captures those types of requests automatically.

Answer

Write a custom script that sends this type of request repeatedly from your dev project.

Answer

Use the Trace API to apply custom attributes to the trace.

Question 15

You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell. You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:<img alt="Google Professional Cloud Developer image Question 215 28893 09182024191318000000"   width="550" height="73" src="https://examgecko.com/getfile/f791cab4-ffb5-4c22-9b1f-4fa95a991f41">You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?

Accepted Answer

Your Cloud Shell external IP address is not part of the authorized networks of the cluster.

Answer

Your user account does not have privileges to interact with the cluster using kubectl.

Answer

The Cloud Shell is not part of the same VPC as the GKE cluster.

Answer

A VPC firewall is blocking access to the cluster's endpoint.

Question 16

You are developing a web application that contains private images and videos stored in a Cloud Storage bucket. Your users are anonymous and do not have Google Accounts. You want to use your application-specific logic to control access to the images and videos. How should you configure access?

Accepted Answer

Generate a signed URL that grants read access to the bucket. Allow users to access the URL after authenticating through your web application.

Answer

Cache each web application user's IP address to create a named IP table using Google Cloud Armor. Create a Google Cloud Armor security policy that allows users to access the backend bucket.

Answer

Grant the Storage Object Viewer IAM role to allUsers. Allow users to access the bucket after authenticating through your web application.

Answer

Configure Identity-Aware Proxy (IAP) to authenticate users into the web application. Allow users to access the bucket after authenticating through IAP.

Question 17

You need to configure a Deployment on Google Kubernetes Engine (GKE). You want to include a check that verifies that the containers can connect to the database. If the Pod is failing to connect, you want a script on the container to run to complete a graceful shutdown. How should you configure the Deployment?

Accepted Answer

Create the Deployment with a livenessProbe for the container that will fail if the container can't connect to the database. Configure a Prestop lifecycle handler that runs the shutdown script if the container is failing.

Answer

Create two jobs: one that checks whether the container can connect to the database, and another that runs the shutdown script if the Pod is failing.

Answer

Create the Deployment with a PostStart lifecycle handler that checks the service availability. Configure a PreStop lifecycle handler that runs the shutdown script if the container is failing.

Answer

Create the Deployment with an initContainer that checks the service availability. Configure a Prestop lifecycle handler that runs the shutdown script if the Pod is failing.

Question 18

You are responsible for deploying a new API. That API will have three different URL paths:* https://yourcompany.com/students* https://yourcompany.com/teachers* https://yourcompany.com/classesYou need to configure each API URL path to invoke a different function in your code. What should you do?

Accepted Answer

Create three Cloud Functions as three backend services exposed using an HTTPS load balancer.

Answer

Create one Cloud Function as a backend service exposed using an HTTPS load balancer.

Answer

Create three Cloud Functions exposed directly.

Answer

Create one Cloud Function exposed directly.

Question 19

You work for an organization that manages an online ecommerce website. Your company plans to expand across the world; however, the estore currently serves one specific region. You need to select a SQL database and configure a schema that will scale as your organization grows. You want to create a table that stores all customer transactions and ensure that the customer (CustomerId) and the transaction (TransactionId) are unique. What should you do?

Accepted Answer

Create a Cloud Spanner table that has TransactionId and CustomerId configured as primary keys. Use a random string (UUID) for the TransactionId.

Answer

Create a Cloud SQL table that has TransactionId and CustomerId configured as primary keys. Use an incremental number for the TransactionId.

Answer

Create a Cloud SQL table that has TransactionId and CustomerId configured as primary keys. Use a random string (UUID) for the Transactionid.

Answer

Create a Cloud Spanner table that has TransactionId and CustomerId configured as primary keys. Use an incremental number for the TransactionId.

Question 20

You are monitoring a web application that is written in Go and deployed in Google Kubernetes Engine. You notice an increase in CPU and memory utilization. You need to determine which source code is consuming the most CPU and memory resources. What should you do?

Accepted Answer

Import the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.

Answer

Download, install, and start the Snapshot Debugger agent in your VM. Take debug snapshots of the functions that take the longest time. Review the call stack frame, and identify the local variables at that level in the stack.

Answer

Import OpenTelemetry and Trace export packages into your application, and create the trace provider. Review the latency data for your application on the Trace overview page, and identify where bottlenecks are occurring.

Answer

Create a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.

Question 21

You have a container deployed on Google Kubernetes Engine. The container can sometimes be slow to launch, so you have implemented a liveness probe. You notice that the liveness probe occasionally fails on launch. What should you do?

Accepted Answer

Increase the initial delay for the liveness probe.

Answer

Add a startup probe.

Answer

Increase the CPU limit for the container.

Answer

Add a readiness probe.

Question 22

You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?

Accepted Answer

Mirror traffic to the new version of your application.

Answer

Split traffic between versions using weights.

Answer

Enable the new recommendation feature flag on a single instance.

Answer

Use HTTP header-based routing.

Question 23

You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?

Accepted Answer

Perform a rolling update with a PodDisruptionBudget of 80%.

Answer

Perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.

Answer

Convert the Deployment to a StatefulSet, and perform a rolling update with a PodDisruptionBudget of 80%.

Answer

Convert the Deployment to a StatefulSet, and perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.

Question 24

Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.What should you do?

Accepted Answer

Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.

Answer

Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.

Answer

Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.

Answer

Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.

Question 25

Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:* Each customer phone call is associated with a unique IVR session.* The IVR system creates a separate persistent gRPC connection to the backend for each session.* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:* Call duration ranges from 1 to 30 minutes.* Calls are typically made during business hours.* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

Accepted Answer

Cloud Run

Answer

Compute Engine

Answer

Google Kubernetes Engine cluster in Standard mode

Answer

Cloud Functions

Question 26

You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?

Accepted Answer

Configure Cloud SQL to host the database, and import the schema into Cloud SQL.

Answer

Deploy MySQL from the Google Cloud Marketplace to the database using a client, and import the schema.

Answer

Configure Bigtable to host the database, and import the data into Bigtable.

Answer

Configure Cloud Spanner to host the database, and import the schema into Cloud Spanner.

Answer

Configure Firestore to host the database, and import the data into Firestore.

Question 27

You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?

Accepted Answer

Create a build trigger that runs the build file in response to a repository code being pushed to the development branch.

Answer

Create a Pub/Sub topic to be notified when code is pushed to the repository. Create a Pub/Sub trigger that runs the build file when an event is published to the topic.

Answer

Create a webhook build trigger that runs the build file in response to HTTP POST calls to the webhook URL.

Answer

Create a Cron job that runs the following command every 24 hours: gcloud builds submit.

Question 28

Your team has created an application that is hosted on a Google Kubernetes Engine (GKE) cluster You need to connect the application to a legacy REST service that is deployed in two GKE clusters in two different regions. You want to connect your application to the legacy service in a way that is resilient and requires the fewest number of steps You also want to be able to run probe-based health checks on the legacy service on a separate port How should you set up the connection?

Accepted Answer

Use Traffic Director with a sidecar proxy to connect the application to the service.

Accepted Answer

Configure the legacy service's firewall to allow health checks originating from the proxy.

Answer

Use a proxyless Traffic Director configuration to connect the application to the service.

Answer

Configure the legacy service's firewall to allow health checks originating from the application.

Answer

Configure the legacy service's firewall to allow health checks originating from the Traffic Director control plane.

Question 29

You work for a financial services company that has a container-first approach. Your team develops microservices applications You have a Cloud Build pipeline that creates a container image, runs regression tests, and publishes the image to Artifact Registry You need to ensure that only containers that have passed the regression tests are deployed to Google Kubernetes Engine (GKE) clusters You have already enabled Binary Authorization on the GKE clusters What should you do next?

Accepted Answer

Create an attestor and a policy. Create an attestation for the container images that have passed the regression tests as a step in the Cloud Build pipeline.

Answer

Deploy Voucher Server and Voucher Client Components. After a container image has passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline.

Answer

Set the Pod Security Standard level to Restricted for the relevant namespaces Digitally sign the container images that have passed the regression tests as a step in the Cloud Build pipeline.

Answer

Create an attestor and a policy Run a vulnerability scan to create an attestation for the container image as a step in the Cloud Build pipeline.

Question 30

You have an ecommerce application hosted in Google Kubernetes Engine (GKE) that receives external requests and forwards them to third-party APIs external to Google Cloud. The third-party APIs are responsible for credit card processing, shipping, and inventory management using the process shown in the diagram.Your customers are reporting that the ecommerce application is running slowly at unpredictable times. The application doesn't report any metrics You need to determine the cause of the inconsistent performance What should you do?<img alt="Google Professional Cloud Developer image Question 230 28908 09182024191318000000"   width="952" height="337" src="https://examgecko.com/getfile/776a69f8-7d01-4e26-9c51-1ad84c39b7c1">

Accepted Answer

Install the OpenTelemetry library for your respective language, and instrument your application.

Answer

Install the Ops Agent inside your container and configure it to gather application metrics.

Answer

Modify your application to read and forward the x-Cloud-Trace-context header when it calls the downstream services

Answer

Enable Managed Service for Prometheus on the GKE cluster to gather application metrics.

Question 31

You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:<img alt="Google Professional Cloud Developer image Question 231 28909 09182024191318000000"   width="1154" height="692" src="https://examgecko.com/getfile/a5d0dded-5598-47f8-a26e-cae2f5086907">You want to optimize deployment times and avoid unnecessary steps What should you do?

Accepted Answer

Add the ---cache-from argument to the Docker build step in your build config file.

Answer

Remove the step that pushes the container to Artifact Registry.

Answer

Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.

Answer

Deploy a new Docker registry in a VPC and use Cloud Build worker pools inside the VPC to run the build pipeline.

Question 32

You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE). The DevOps team has built a CI/CD pipeline that uses Cloud Deploy to deploy the application to Dev Test, and Prod clusters in GKE. After Cloud Deploy successfully deploys the application to the Dev cluster you want to automatically promote it to the Test Cluster. How should you configure this process following Google-recommended best practices?

Accepted Answer

1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster 2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the cloud-builds topic

Answer

1 Create a Cloud Build trigger that listens for SUCCEEDED Pub/Sub messages from the clouddeploy-operations topic. 2 Configure Cloud Build to include a step that promotes the application to the Test cluster

Answer

1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster 2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the clouddeploy operations topic

Answer

1 Create a Cloud Build pipeline that uses the gke-deploy builder 2 Create a Cloud Build trigger that listens to SUCCEEDED Pub/Sub messages from the cloud-builds topic 3 Configure this pipeline to run a deployment step to the Test cluster

Question 33

You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application. You want to configure the architecture using managed services where possible What should you do?

Accepted Answer

Host the application on Google Kubernetes Engine and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.

Answer

Host the application on Compute Engine, and configure Cloud Endpoints for your application.

Answer

Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.

Answer

Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.

Question 34

You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?

Accepted Answer

Store user data on a persistent disk in a Compute Engine instance

Answer

Store user data on a Cloud Shell home disk and log in at least every 120 days to prevent its deletion

Answer

Store user data m BigQuery tables

Answer

Store user data in a Cloud Storage bucket

Question 35

You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:* Load is initiated from multiple parallel threads* User traffic to the API originates from multiple source IP addresses.* Load can be scaled up using additional test instancesYou want to follow Google-recommended best practices How should you configure the load testing'?

Accepted Answer

Deploy a distributed load testing framework on a private Google Kubernetes Engine Cluster Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.

Answer

Create an image that has cURL installed and configure cURLto run a test plan Deploy the image in a managed instance group, and run one instance of the image for each VM.

Answer

Create an image that has cURL installed and configure cURL to run a test plan Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.

Answer

Download the container image of a distributed load testing framework on Cloud Shell Sequentially start several instances of the container on Cloud Shell to increase the load on the API.

Question 36

You are a lead developer working on a new retail system that runs on Cloud Run and Firestore. A web UI requirement is for the user to be able to browse through alt products. A few months after go-live, you notice that Cloud Run instances are terminated with HTTP 500: Container instances are exceeding memory limits errors during busy timesThis error coincides with spikes in the number of Firestore queriesYou need to prevent Cloud Run from crashing and decrease the number of Firestore queries. You want to use a solution that optimizes system performance What should you do?

Accepted Answer

Modify the query that returns the product list using cursors with limits

Answer

Create a custom jndex over the products

Answer

Modify the Cloud Run configuration to increase the memory limits

Answer

Modify the query that returns the product list using integer offsets

Question 37

You are using Cloud Run to host a global ecommerce web application. Your company's design team is creating a new color scheme for the web app. You have been tasked with determining whether the new color scheme will increase sales You want to conduct testing on live production traffic How should you design the study?

Accepted Answer

Use an external HTTP(S) load balancer to route a predetermined percentage of traffic to two different color schemes of your application Analyze the results to determine whether there is a statistically significant difference in sales.

Answer

Use an external HTTP(S) load balancer to route traffic to the original color scheme while the new deployment is created and tested After testing is complete reroute all traffic to the new color scheme Analyze the results to determine whether there is a statistically significant difference in sales.

Answer

Enable a feature flag that displays the new color scheme to half of all users. Monitor sales to see whether they increase for this group of users.

Answer

Use an external HTTP(S) load balancer to mirror traffic to the new version of your application Analyze the results to determine whether there is a statistically significant difference in sales.

Question 38

Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?

Accepted Answer

Google Cloud Deploy. Artifact Registry, and Google Cloud Armor

Answer

Google Cloud Deploy, Cloud Storage and Google Cloud Armor

Answer

Cloud Build, Cloud Storage, and Binary Authorization

Answer

Cloud Build. Artifact Registry and Binary Authorization

Question 39

You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify. which HTTP requests have a significantly high latency span in user requests What should you do?

Accepted Answer

Configure GKE workload metrics using kubect1 Select all Pods to send their metrics to Cloud Monitoring. Create a custom dashboard of application metrics in Cloud Monitoring to determine performance bottlenecks of your GKE cluster

Answer

Instrument your microservices by installing the OpenTelemetry tracing package Update your application code to send traces to Trace for inspection and analysis Create an analysis report on Trace to analyze user requests

Answer

Install tcpdump on your GKE nodes. Run tcpdump to capture network traffic over an extended period of time to collect data Analyze the data files using Wireshark to determine the cause of high latency

Answer

Update your microservices to log HTTP request methods and URL paths to STDOUT Use the logs router to send container logs to Cloud Logging Create filters in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.

Question 40

You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

Accepted Answer

Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.

Answer

Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

Answer

Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

Answer

Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming convention

Google Professional Cloud Developer Practice Test 6

Google Professional Cloud Developer Practice Tests