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Exam Professional Cloud Architect All Questions

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Exam Professional Cloud Architect topic 1 question 158 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 158
Topic #: 1
[All Professional Cloud Architect Questions]

Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on-premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
Which cloud infrastructure should you recommend?

  • A. Google Compute Engine unmanaged instance groups and Network Load Balancer
  • B. Google Compute Engine managed instance groups with auto-scaling
  • C. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
  • D. Google App Engine with Google StackDriver for logging
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by AWS56 at Nov. 16, 2019, 3:07 p.m.

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AWS56
Highly Voted 5 years, 1 month ago
B, https://cloud.google.com/compute/docs/autoscaler/
upvoted 24 times
tartar
4 years, 4 months ago
B is ok
upvoted 7 times
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RVivek
Highly Voted 1 year, 10 months ago
Selected Answer: B
Changing the tests as little as possible rules out C & D. Test takes several hours and you need to improve perfromace. Autocaling with MIG will do it Unmanaged group cannot autosacle. Load balancer will not improve perfromance
upvoted 5 times
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plumbig11
Most Recent 5 months, 4 weeks ago
Selected Answer: B
C++ test in on prem== compute engine, in this case we need to scale if necessary so managed.
upvoted 1 times
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SerGCP
2 years, 2 months ago
Why not A? the custom APP may be not supporto autoscaling....
upvoted 2 times
e5019c6
1 year ago
I second the question. The App might not support horizontal scaling. But I also admit that no other answer is valid. A: The Load Balancer offers no benefit. C: Hadoop doesn't process C++ D: App Engine is for web apps.
upvoted 1 times
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RVivek
1 year, 10 months ago
Changing the tests as little as possible rules out C & D. Test takes several hours and you need to improve perfromace. Autocaling with MIG will do it Unmanaged group cannot autosacle. Load balancer will not improve perfromance
upvoted 1 times
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Mahmoud_E
2 years, 2 months ago
Selected Answer: B
B is the right answer
upvoted 1 times
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AzureDP900
2 years, 2 months ago
B is right
upvoted 2 times
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Pime13
2 years, 11 months ago
Selected Answer: B
choose b
upvoted 1 times
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vincy2202
3 years ago
Selected Answer: B
B is the correct answer
upvoted 1 times
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joe2211
3 years, 1 month ago
Selected Answer: B
vote B
upvoted 3 times
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Cloudguy123
3 years, 4 months ago
New Question Your company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Filestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is 1/0-intensive. What should you do? A. Usekubectl autoscale deployment APP_NAME --max 6 --min 2 --cpu-percent 50 to configure Kubernetes autoscaling deployment. B. Configure a Kubemetes autoscaling deployment based on the subscription/push_request_latencies metric. C. Use the --enable-autoscaling flag when you create the Kubernetes cluster. D. Configure a Kubernetes autoscaling deployment based on the subscription/num_undelivered_messages metric.
upvoted 2 times
PleeO
3 years, 3 months ago
D is the correct answer https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics#pubsub
upvoted 2 times
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PeppaPig
3 years, 4 months ago
D is the answer
upvoted 4 times
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Cloudguy123
3 years, 4 months ago
New Question Your organization has stored sensitive data in a Cloud Storage bucket. For regulatory reasons, your company must be able to rotate the encryption key used to encrypt the data in the bucket. The data will be processed in Dataproc. You want to follow Google-recommended practices for security What should you do? A. Create a key with Cloud Key Management Service (KMS) Encrypt the data using the encrypt method of Cloud KMS. B. Create a key with Cloud Key Management Service (KMS). Set the encryption key on the bucket to the Cloud KMS key. C. Generate a GPG key pair. Encrypt the data using the GPG key. Upload the encrypted data to the bucket. D. Generate an AES-256 encryption key. Encrypt the data in the bucket using the customer-supplied encryption keys feature. Answer Please
upvoted 2 times
rottzy
3 years, 2 months ago
why are you repeating questions from this series as comments?
upvoted 3 times
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fahad01hbti
3 years, 4 months ago
it is B https://cloud.google.com/storage/docs/encryption/using-customer-managed-keys
upvoted 2 times
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GCP_New
3 years, 5 months ago
Are we getting questions from 1-100 in the exam?
upvoted 2 times
bishalsainju
3 years, 1 month ago
Yeah I have the same question in mind.
upvoted 2 times
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AnilKr
3 years, 5 months ago
Google Compute Engine and with MIG for auto-scaling
upvoted 3 times
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bala786
3 years, 5 months ago
Agree with Option B.Google Compute Managed instance groups with auto-scaling
upvoted 2 times
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[Removed]
3 years, 6 months ago
agree with B
upvoted 3 times
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victory108
3 years, 7 months ago
B. Google Compute Engine managed instance groups with auto-scaling
upvoted 2 times
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un
3 years, 8 months ago
B is correct
upvoted 2 times
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C (25%)
B (20%)
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