Three Easy-to-Use Google Professional-Cloud-Developer Exam Questions Formats

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The Google Professional Cloud Developer certificate is intended to validate the competence of IT professionals tasked with building highly available and scalable applications with the aid of Google endorsed practices and tools. Such individuals will have to demonstrate an understanding of developer tools, cloud-native applications, modern databases, and managed services during the corresponding exam. What’s more, targeted specialists need to have background experience working with at least one programming language and should be proficient in creating useful metrics and logs for debugging and trace coding.

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Google Certified Professional - Cloud Developer Sample Questions (Q22-Q27):

NEW QUESTION # 22
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?

A. 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.
B. 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.
C. 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.
D. 1) Run the following command from a command line: gcloud config set
auth/impersonate_service_account [email protected].
2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.

Answer: B

Explanation:
Explanation
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.

NEW QUESTION # 23
You are developing an application that consists of several microservices running in a Google Kubernetes Engine cluster. One microservice needs to connect to a third-party database running on-premises. You need to store credentials to the database and ensure that these credentials can be rotated while following security best practices. What should you do?

A. Configure a service mesh to allow or restrict traffic from the Pods in your microservice to the database.
B. Store the credentials as a Kubernetes Secret, and use the Cloud Key Management Service plugin to handle encryption and decryption.
C. Store the credentials in an encrypted volume mount, and associate a Persistent Volume Claim with the client Pod.
D. Store the credentials in a sidecar container proxy, and use it to connect to the third-party database.

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/encrypting-secrets By default, Google Kubernetes Engine (GKE) encrypts customer content stored at rest, including Secrets.
GKE handles and manages this default encryption for you without any additional action on your part.
Application-layer secrets encryption provides an additional layer of security for sensitive data, such as Secrets, stored in etcd. Using this functionality, you can use a key managed with Cloud KMS to encrypt data at the application layer. This encryption protects against attackers who gain access to an offline copy of etcd.

NEW QUESTION # 24
Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A. Write each row to a Cloud Storage object, then load into BigQuery.
B. Write each row to a Cloud Storage object in parallel, then load into BigQuery.
C. Include multiple rows with each request.
D. Perform the inserts in parallel by creating multiple threads.

Answer: D

NEW QUESTION # 25
You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application's configuration based on the environment it serves. You want to minimize the number of steps to configure this flow. What should you do?

A. Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.
B. When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.
C. In each project, configure a metadata key "environment" whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the "environment" value.
D. During each instance launch, configure an instance custom-metadata key named "environment" whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the "environment" value.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/metadata/setting-custom-metadata#set-custom-project- wide-metadata

NEW QUESTION # 26
You are designing an application that consists of several microservices. Each microservice has its own RESTful API and will be deployed as a separate Kubernetes Service. You want to ensure that the consumers of these APIs aren't impacted when there is a change to your API, and also ensure that third-party systems aren't interrupted when new versions of the API are released. How should you configure the connection to the application following Google-recommended best practices?

A. Use multiple clusters, and use DNS entries to route requests to separate versioned backends.
B. Use an Ingress that uses the API's URL to route requests to the appropriate backend.
C. Leverage a Service Discovery system, and connect to the backend specified by the request.
D. Combine multiple versions in the same service, and then specify the API version in the POST request.

Answer: D

NEW QUESTION # 27
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Three Easy-to-Use Google Professional-Cloud-Developer Exam Questions Formats

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Google Certified Professional - Cloud Developer Sample Questions (Q22-Q27):

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