Summer Certification Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code = getmirror

Home
Google
Cloud Developer
Professional-Cloud-Developer
Google Certified Professional - Cloud Developer Questions and Answers

Pass the Google Cloud Developer Professional-Cloud-Developer Questions and answers with ExamsMirror

Practice at least 50% of the questions to maximize your chances of passing.

Exam Professional-Cloud-Developer Premium Access

View all detail and faqs for the Professional-Cloud-Developer exam

Go to Exam

702 Students Passed

84% Average Score

95% Same Questions

Viewing page 6 out of 6 pages

Viewing questions 51-60 out of questions

Questions # 51:

For this question, refer to the HipLocal case study.

How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?

Options:

Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.

Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.

Answer

Questions # 52:

For this question, refer to the HipLocal case study.

How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?

Options:

Use Google Kubernetes Engine (GKE) to run the application as a microservice. Run the MySQL database on a dedicated GKE node.

Use multiple Compute Engine instances to run MySQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

Use Memorystore to store session information and CloudSQL to store state information. Use a Google Cloud-managed load balancer to distribute the load between instances. Use managed instance groups for scaling.

Use a Cloud Storage bucket to serve the application as a static website, and use another Cloud Storage bucket to store user state information.

Answer

Questions # 53:

For this question refer to the HipLocal case study.

HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?

Options:

Migrate the database to Bigtable and use it to serve all global user traffic.

Migrate the database to Cloud Spanner and use it to serve all global user traffic.

Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

Answer

Questions # 54:

Which database should HipLocal use for storing user activity?

Options:

BigQuery

Cloud SQL

Cloud Spanner

Cloud Datastore

Answer

Questions # 55:

HipLocal's.net-based auth service fails under intermittent load.

What should they do?

Options:

Use App Engine for autoscaling.

Use Cloud Functions for autoscaling.

Use a Compute Engine cluster for the service.

Use a dedicated Compute Engine virtual machine instance for the service.

Answer

Explanation

[Reference: https://www.qwiklabs.com/focuses/611?parent=catalog]

Questions # 56:

For this question, refer to the HipLocal case study.

A recent security audit discovers that HipLocal’s database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?

Options:

Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain the database credentials.

Create a service account and download its key. Use the key to authenticate to Cloud Key Management Service (KMS) to obtain a key used to decrypt the database credentials.

Create a service account and grant it the roles/iam.serviceAccountUser role. Impersonate as this account and authenticate using the Cloud SQL Proxy.

Grant the roles/secretmanager.secretAccessor role to the Compute Engine service account. Store and access the database credentials with the Secret Manager API.

Answer

Explanation

https://cloud.google.com/secret-manager/docs/overview

Questions # 57:

For this question, refer to the HipLocal case study.

HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?

Options:

Create new Cloud SQL instances in Europe and North America for testing and deployment. Provide developers with local MySQL instances to conduct testing on the application changes.

Migrate data to Bigtable. Instruct the development teams to use the Cloud SDK to emulate a local Bigtable development environment.

Move from Cloud SQL to MySQL hosted on Compute Engine. Replicate hosts across regions in the Americas and Europe. Provide developers with local MySQL instances to conduct testing on the application changes.

Migrate data to Firestore in Native mode and set up instan

Answer

Questions # 58:

For this question, refer to the HipLocal case study.

HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

Options:

Create an API key. Use the API key to interact with Google Cloud.

Use the default compute service account to interact with Google Cloud.

Create a service account for the application. Export and deploy the private key for the application. Use the service account to interact with Google Cloud.

Create a service account for the application and for each Google Cloud API used by the application. Export and deploy the private keys used by the application. Use the service account with one Google Cloud API to interact with Google Cloud.

Answer

Questions # 59:

HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some

metrics to help them troubleshoot.

What should they do?