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Google Certified Professional - Cloud Developer Sample Questions (Q178-Q183):

NEW QUESTION # 178
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 a service account for the application. Export and deploy the private key for the application. Use the service account to interact with Google Cloud.
• B. 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.
• C. Create an API key. Use the API key to interact with Google Cloud.
• D. Use the default compute service account to interact with Google Cloud.

Answer: C
NEW QUESTION # 179
Your application is composed of a set of loosely coupled services orchestrated by code executed on Compute Engine. You want your application to easily bring up new Compute Engine instances that find and use a specific version of a service. How should this be configured?

• A. Define your service endpoint information as label data that is retrieved at runtime and used to connect to the desired service.
• B. Define your service to use a fixed hostname and port to connect to the desired service. Replace the service at the endpoint with your new version.
• C. Define your service endpoint information as metadata that is retrieved at runtime and used to connect to the desired service.
• D. Define your service endpoint information to be retrieved from an environment variable at runtime and used to connect to the desired service.

Answer: C Explanation:
Explanation
https://cloud.google.com/service-infrastructure/docs/service-metadata/reference/rest#service-endpoint
NEW QUESTION # 180
Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
* Each customer phone call is associated with a unique IVR session.
* The IVR system creates a separate persistent gRPC connection to the backend for each session.
* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
* Call duration ranges from 1 to 30 minutes.
* Calls are typically made during business hours.
* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

• A. Cloud Functions
• B. Cloud Run
• C. Google Kubernetes Engine cluster in Standard mode
• D. Compute Engine

Answer: B Explanation:
Explanation
This page shows Cloud Run-specific details for developers who want to use gRPC to connect a Cloud Run service with other services, for example, to provide simple, high performance communication between internal microservices. You can use all gRPC types, streaming or unary, with Cloud Run.
Possible use cases include:
Communication between internal microservices.
High loads of data (gRPC uses protocol buffers, which are up to seven times faster than REST calls).
Only a simple service definition is needed, you don't want to write a full client library.
Use streaming gRPCs in your gRPC server to build more responsive applications and APIs.
https://cloud.google.com/run/docs/tutorials/secure-services#:~:text=The%20backend%20service%20is%20priva
NEW QUESTION # 181
Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

• A. Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
• B. Create aggregated exports on application logs to BigQuery to facilitate log analytics.
• C. Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.
• D. Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
• E. Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.

Answer: B,E Explanation:
Explanation
https://cloud.google.com/stackdriver/docs/solutions/gke/managing-logs#best_practices
NEW QUESTION # 182
HipLocal's.net-based auth service fails under intermittent load.
What should they do?

• A. Use a Compute Engine cluster for the service.
• B. Use App Engine for autoscaling.
• C. Use a dedicated Compute Engine virtual machine instance for the service.
• D. Use Cloud Functions for autoscaling.

Answer: C
NEW QUESTION # 183
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