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Google Professional Cloud Developer Practice Test - Questions Answers, Page 23

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Question 221

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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 fa

Question 222

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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

Question 223

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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 th

Question 224

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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 applic

Question 225

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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 te

Question 226

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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 b

Question 227

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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

Question 228

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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 t

Question 229

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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 regr

Question 230

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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 re

Related questions

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling. Which two services should they choose? (Choose two.)

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?

You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements: * Test frequent local changes automatically. * Local deployment emulates production deployment. Which tools should you use to test building and running a container on your laptop using minimal resources'?

Your company has a BigQuery dataset named 'Master' that keeps information about employee travel and expenses. This information is organized by employee department. That means employees should only be able to view information for their department. You want to apply a security framework to enforce this requirement with the minimum number of steps. What should you do?

Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 'Too Many Requests' status code. How should you handle this error?

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?

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?

You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second. Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API. What should you do?

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 do9

Question 221

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?

Add a startup probe.

Increase the initial delay for the liveness probe.

Increase the CPU limit for the container.

Add a readiness probe.

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Question 222

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?

Split traffic between versions using weights.

Enable the new recommendation feature flag on a single instance.

Mirror traffic to the new version of your application.

Use HTTP header-based routing.

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Question 223

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?

Perform a rolling update with a PodDisruptionBudget of 80%.

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

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

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

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Question 224

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?

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.

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.

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.

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

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Question 225

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?

Compute Engine

Google Kubernetes Engine cluster in Standard mode

Cloud Functions

Cloud Run

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Question 226

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?

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

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

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

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

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

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Question 227

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?

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.

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

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

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

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Question 228

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?

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

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

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

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

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

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Question 229

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?

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.

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.

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.

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.

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Question 230

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?

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

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

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

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

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