Professional-Cloud-Developer Google Exam Questions and Free Practice Test

Question 19

- (Exam Topic 2)
You want to notify on-call engineers about a service degradation in production while minimizing development time.
What should you do?

A. Use Cloud Function to monitor resources and raise alerts.

B. Use Cloud Pub/Sub to monitor resources and raise alerts.

C. Use Stackdriver Error Reporting to capture errors and raise alerts.

D. Use Stackdriver Monitoring to monitor resources and raise alerts.

Correct Answer:A

Question 20

- (Exam Topic 1)
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.

Correct Answer:C

Question 21

- (Exam Topic 2)
Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application? (Choose two.)

A. Develop the microservice code in the same programming language used by the microservice caller.

B. Create an API contract agreement between the microservice implementation and microservice caller.

C. Require asynchronous communications between all microservice implementations and microservice callers.

D. Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.

E. Implement a versioning scheme to permit future changes that could be incompatible with the current interface.

Correct Answer:BE

Question 22

- (Exam Topic 2)
You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

A. Cloud Run

B. Compute Engine

C. Google Kubernetes Engine

D. App Engine flexible environment

Correct Answer:A
https://cloud.google.com/blog/products/serverless/knative-based-cloud-run-services-are-ga

Question 23

- (Exam Topic 2)
You have an on-premises application that authenticates to the Cloud Storage API using a user-managed service account with a user-managed key. The application connects to Cloud Storage using Private Google Access over a Dedicated Interconnect link. You discover that requests from the application to access objects in the Cloud Storage bucket are failing with a 403 Permission Denied error code. What is the likely cause of this issue?

A. The folder structure inside the bucket and object paths have changed.

B. The permissions of the service account’s predefined role have changed.

C. The service account key has been rotated but not updated on the application server.

D. The Interconnect link from the on-premises data center to Google Cloud is experiencing a temporary outage.

Correct Answer:C

Question 24

- (Exam Topic 2)
You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from its source code, runs unit and integration tests in separate steps, and pushes the container to Container Registry. The application runs on a Python web server.
The Dockerfile is as follows: FROM python:3.7-alpine - COPY . /app WORKDIR /app
RUN pip install -r requirements.txt CMD [ "gunicorn", "-w 4", "main:app" ]
You notice that Cloud Build runs are taking longer than expected to complete. You want to decrease the build time. What should you do? (Choose two.)

A. Select a virtual machine (VM) size with higher CPU for Cloud Build runs.

B. Deploy a Container Registry on a Compute Engine VM in a VPC, and use it to store the final images.

C. Cache the Docker image for subsequent builds using the -- cache-from argument in your build config file.

D. Change the base image in the Dockerfile to ubuntu:latest, and install Python 3.7 using a package manager utility.

E. Store application source code on Cloud Storage, and configure the pipeline to use gsutil to download the source code.

Correct Answer:AC
https://cloud.google.com/build/docs/optimize-builds/increase-vcpu-for-builds
By default, Cloud Build runs your builds on a standard virtual machine (VM). In addition to the standard VM, Cloud Build provides several high-CPU VM types to run builds. To increase the speed of your build, select a machine with a higher vCPU to run builds. Keep in mind that although selecting a high vCPU machine increases your build speed, it may also increase the startup time of your build as Cloud Build only starts
non-standard machines on demand.
https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image
The easiest way to increase the speed of your Docker image build is by specifying a cached image that can be used for subsequent builds. You can specify the cached image by adding the --cache-from argument in your build config file, which will instruct Docker to build using that image as a cache source.

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