Question # 1 For this question refer to the HipLocal case study. A. Migrate the database to Bigtable and use it to serve all global user trafficB. Migrate the database to Cloud Spanner and use it to serve all global user trafficC. Migrate the database to Firestore in Datastore mode and use it to serve all global user
traffic.D. Migrate the services to Google Kubernetes Engine and use a load balancer service to
better scale the application.
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D. Migrate the services to Google Kubernetes Engine and use a load balancer service to
better scale the application.Question # 2 Your analytics system executes queries against a BigQuery dataset. The SQL query is
executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it
redirects the BigQuery CLI output to another process. However, you are getting a
permission error from the BigQuery CLI when the queries are executed. You want to
resolve the issue. What should you do? A. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.B. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.C. Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.D. Create a new dataset in BigQuery, and copy the source table to the new dataset Query
the new dataset and table from the CLI.
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B. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.Question # 3 You are developing a new application that has the following design requirements:
Creation and changes to the application infrastructure are versioned and auditable.
The application and deployment infrastructure uses Google-managed services as much as
possible.
The application runs on a serverless compute platform. How should you design the application’s architecture? A. 1. Store the application and infrastructure source code in a Git repository.B. 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration
pipeline in Jenkins.C. 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to
deploy the application infrastructure using Deployment Manager templates.D. 1. Deploy the application infrastructure using gcloud commands.
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D. 1. Deploy the application infrastructure using gcloud commands.Question # 4 You have written a Cloud Function that accesses other Google Cloud resources. You want
to secure the environment using the principle of least privilege. What should you do? A. Create a new service account that has Editor authority to access the resources. The
deployer is given permission to get the access token.B. Create a new service account that has a custom IAM role to access the resources. The
deployer is given permission to get the access token.C. Create a new service account that has Editor authority to access the resources. The
deployer is given permission to act as the new service account.D. Create a new service account that has a custom IAM role to access the resources. The
deployer is given permission to act as the new service account.
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D. Create a new service account that has a custom IAM role to access the resources. The
deployer is given permission to act as the new service account.Question # 5 Your team develops stateless services that run on Google Kubernetes Engine (GKE). You
need to deploy a new service that will only be accessed by other services running in the
GKE cluster. The service will need to scale as quickly as possible to respond to changing
load. What should you do? A. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP
Service.B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort
Service.C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a
ClusterIP Service.D. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a
NodePort Service.
Click for Answer
C. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a
ClusterIP Service.Question # 6 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? A. Create a separate dataset for each department. Create a view with an appropriate
WHERE clause to
select records from a particular dataset for the specific department. Authorize this view to
access records
from your Master dataset. Give employees the permission to this department-specific
dataset.B. Create a separate dataset for each department. Create a data pipeline for each
department to copy
appropriate information from the Master dataset to the specific dataset for the department.
Give employees
the permission to this department-specific dataset.C. Create a dataset named Master dataset. Create a separate view for each department in
the Master
dataset. Give employees access to the specific view for their department.D. Create a dataset named Master dataset. Create a separate table for each department in
the Master
dataset. Give employees access to the specific table for their department.
Click for Answer
B. Create a separate dataset for each department. Create a data pipeline for each
department to copy
appropriate information from the Master dataset to the specific dataset for the department.
Give employees
the permission to this department-specific dataset.Question # 7 You are writing from a Go application to a Cloud Spanner database. You want to optimize
your application’s performance using Google-recommended best practices. What should
you do? A. Write to Cloud Spanner using Cloud Client LibrariesB. Write to Cloud Spanner using Google API Client LibrariesC. Write to Cloud Spanner using a custom gRPC client library.D. Write to Cloud Spanner using a third-party HTTP client library.
Click for Answer
A. Write to Cloud Spanner using Cloud Client LibrariesQuestion # 8 You are using Cloud Build for your CI/CD pipeline to complete several tasks, including
copying certain files to Compute Engine virtual machines. Your pipeline requires a flat file
that is generated in one builder in the pipeline to be accessible by subsequent builders in
the same pipeline. How should you store the file so that all the builders in the pipeline can
access it? A. Store and retrieve the file contents using Compute Engine instance metadata.B. Output the file contents to a file in /workspace. Read from the same /workspace file in
the subsequent build step.C. Use gsutil to output the file contents to a Cloud Storage object. Read from the same
object in the subsequent build step.D. Add a build argument that runs an HTTP POST via curl to a separate web server to
persist the value in one builder. Use an HTTP GET via curl from the subsequent build step
to read the value.
Click for Answer
B. Output the file contents to a file in /workspace. Read from the same /workspace file in
the subsequent build step.
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