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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q55-Q60):

NEW QUESTION # 55
Your company wants to try out the cloud with low risk. They want to archive approximately
100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers

A. Load logs into Google BigQuery.
B. Insert logs into Google Cloud Bigtable.
C. Import logs into Google Stackdriver.
D. Load logs into Google Cloud SQL.
E. Upload log files into Google Cloud Storage.

Answer: A,E

NEW QUESTION # 56
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A. Copy the source after the package dependencies (Python and pip) are installed.
B. Use a slimmed-down base image like Alpine linux.
C. Use larger machine types for your Google Container Engine node pools.
D. Remove Python after running pip.
E. Remove dependencies from requirements.txt.

Answer: A,B

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
Reference:
https://www.alpinelinux.org/about/

NEW QUESTION # 57
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for securely deploying workloads to Google Cloud. You also need to ensure that only verified containers are deployed using Google Cloud services. What should you do? (Choose two.)

A. Configure Jenkins to utilize Kritis to cryptographically sign a container as part of a CI/CD pipeline.
B. Enable Binary Authorization on GKE, and sign containers as part of a CI/CD pipeline.
C. Configure Container Registry to use vulnerability scanning to confirm that there are no vulnerabilities before deploying the workload.
D. Configure Container Registry to only allow trusted service accounts to create and deploy containers from the registry.

Answer: B

Explanation:
Binary Authorization to ensure only verified containers are deployed To ensure deployment are secure and and consistent, automatically scan images for vulnerabilities with container analysis (https://cloud.google.com/docs/ci-cd/overview?hl=en&skip_cache=true)

NEW QUESTION # 58
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

A. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
B. Use Spinnaker to deploy builds to production and run tests on production deployments.
C. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment.
D. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.

Answer: A

Explanation:
Reference: https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes/blob/master/ README.md

NEW QUESTION # 59
Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

A. Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP (S) load balancer to expose the different clusters over a single global IP address.
B. Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.
C. Use Cloud Debugger in the development environment to understand the latency between the different microservices.
D. Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.

Answer: D

NEW QUESTION # 60
......

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Professional-Cloud-Architect New APP Simulations, Professional-Cloud-Architect Exam Quizzes

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q55-Q60):

Professional-Cloud-Architect exam braindumps: Google Certified Professional - Cloud Architect (GCP) & Professional-Cloud-Architect study guide

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