Professional-Cloud-Developer Exam Dumps - Google Certified Professional - Cloud Developer

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Question # 41

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?

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.

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Question # 42

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?

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.

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Question # 43

For this question, refer to the HipLocal case study.

Which Google Cloud product addresses HipLocalâ€™s business requirements for service level indicators and objectives?

Cloud Profiler

Cloud Monitoring

Cloud Trace

Cloud Logging

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Question # 44

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?

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.

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Question # 45

HipLocal is configuring their access controls.

Which firewall configuration should they implement?

Block all traffic on port 443.

Allow all traffic into the network.

Allow traffic on port 443 for a specific tag.

Allow all traffic on port 443 into the network.

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Question # 46

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

Which configuration should they choose?

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

Compute Engine.

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

external master configuration.

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

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

without further configuration.

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Question # 47

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?

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.

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Question # 48

Which database should HipLocal use for storing user activity?

BigQuery

Cloud SQL

Cloud Spanner

Cloud Datastore

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