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Google Professional Cloud Developer Practice Test - Questions Answers, Page 24

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Question 231

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You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below: You want to optimize deployment times and avoid unnecessary steps What should you d

Question 232

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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 ap

Question 233

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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 applicati

Question 234

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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 man

Question 235

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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 fr

Question 236

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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-li

Question 237

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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 c

Question 238

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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 you

Question 239

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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

Question 240

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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 vari

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 231

You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:

You want to optimize deployment times and avoid unnecessary steps What should you do?

Remove the step that pushes the container to Artifact Registry.

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

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

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

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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?

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

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

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

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Question 233

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?

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

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

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

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

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Question 234

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'?

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

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

Store user data m BigQuery tables

Store user data in a Cloud Storage bucket

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Question 235

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 instances

You want to follow Google-recommended best practices How should you configure the load testing'?

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.

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.

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.

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.

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Question 236

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 times

This error coincides with spikes in the number of Firestore queries

You 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?

Create a custom jndex over the products

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

Modify the Cloud Run configuration to increase the memory limits

Modify the query that returns the product list using integer offsets

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Question 237

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.

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.

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.

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.

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Question 238

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?

Google Cloud Deploy. Artifact Registry, and Google Cloud Armor

Google Cloud Deploy, Cloud Storage and Google Cloud Armor

Cloud Build, Cloud Storage, and Binary Authorization

Cloud Build. Artifact Registry and Binary Authorization

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Question 239

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?

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

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

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

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.

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Question 240

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?

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

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.

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

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

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