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Professional-Cloud-Developer Google Certified Professional - Cloud Developer Free Practice Exam Questions (2025 Updated)

Prepare effectively for your Google Professional-Cloud-Developer Google Certified Professional - Cloud Developer certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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?

A.

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

B.

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

C.

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.

HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.

Which configuration should they choose?

A.

Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on

Compute Engine.

B.

Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an

external master configuration.

C.

Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.

D.

Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy

without further configuration.

For this question, refer to the HipLocal case study.

Which Google Cloud product addresses HipLocal’s business requirements for service level indicators and objectives?

A.

Cloud Profiler

B.

Cloud Monitoring

C.

Cloud Trace

D.

Cloud Logging

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

What should they do?

A.

Use App Engine for autoscaling.

B.

Use Cloud Functions for autoscaling.

C.

Use a Compute Engine cluster for the service.

D.

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

Which service should HipLocal use to enable access to internal apps?

A.

Cloud VPN

B.

Cloud Armor

C.

Virtual Private Cloud

D.

Cloud Identity-Aware Proxy

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?

A.

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

B.

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

C.

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

D.

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

Which service should HipLocal use for their public APIs?

A.

Cloud Armor

B.

Cloud Functions

C.

Cloud Endpoints

D.

Shielded Virtual Machines

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?

A.

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

B.

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

C.

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.

D.

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.

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.

Which two services should they choose? (Choose two.)

A.

Use Google App Engine services.

B.

Use serverless Google Cloud Functions.

C.

Use Knative to build and deploy serverless applications.

D.

Use Google Kubernetes Engine for automated deployments.

E.

Use a large Google Compute Engine cluster for deployments.

In order to meet their business requirements, how should HipLocal store their application state?

A.

Use local SSDs to store state.

B.

Put a memcache layer in front of MySQL.

C.

Move the state storage to Cloud Spanner.

D.

Replace the MySQL instance with Cloud SQL.

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?

A.

Take frequent snapshots of all of the VMs.

B.

Install the Stackdriver Logging agent on the VMs.

C.

Install the Stackdriver Monitoring agent on the VMs.

D.

Use Stackdriver Trace to look for performance bottlenecks.

Which database should HipLocal use for storing user activity?

A.

BigQuery

B.

Cloud SQL

C.

Cloud Spanner

D.

Cloud Datastore

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?

A.

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.

B.

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

C.

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.

D.

Migrate data to Firestore in Native mode and set up instan

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?

A.

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

B.

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.

C.

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.

D.

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

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?

A.

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

B.

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.

C.

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

D.

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

HipLocal’s data science team wants to analyze user reviews.

How should they prepare the data?

A.

Use the Cloud Data Loss Prevention API for redaction of the review dataset.

B.

Use the Cloud Data Loss Prevention API for de-identification of the review dataset.

C.

Use the Cloud Natural Language Processing API for redaction of the review dataset.

D.

Use the Cloud Natural Language Processing API for de-identification of the review dataset.

HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.

Which IP strategy should they use?

A.

Create manual subnets.

B.

Create an auto mode subnet.

C.

Create multiple peered VPCs.

D.

Provision a single instance for NAT.

In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?

A.

Cloud Spanner

B.

Cloud Datastore

C.

Cloud Memorystore as a cache

D.

Separate Cloud SQL clusters for each region

HipLocal is configuring their access controls.

Which firewall configuration should they implement?

A.

Block all traffic on port 443.

B.

Allow all traffic into the network.

C.

Allow traffic on port 443 for a specific tag.

D.

Allow all traffic on port 443 into the network.

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