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Pass the Google Google Cloud Certified Professional-Cloud-Architect Questions and answers with CertsForce

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Questions # 1:

For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a

payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers,

and season ticket holders. You need to implement a custom card tokenization service that meets the following

requirements:

• It must provide low latency at minimal cost.

• It must be able to identify duplicate credit cards and must not store plaintext card numbers.

• It should support annual key rotation.

Which storage approach should you adopt for your tokenization service?

Options:

A.

Store the card data in Secret Manager after running a query to identify duplicates.


B.

Encrypt the card data with a deterministic algorithm stored in Firestore using Datastore mode.


C.

Encrypt the card data with a deterministic algorithm and shard it across multiple Memorystore instances.


D.

Use column-level encryption to store the data in Cloud SQL.


Expert Solution
Questions # 2:

For this question, refer to the Helicopter Racing League (HRL) case study. Recently HRL started a new regional

racing league in Cape Town, South Africa. In an effort to give customers in Cape Town a better user

experience, HRL has partnered with the Content Delivery Network provider, Fastly. HRL needs to allow traffic

coming from all of the Fastly IP address ranges into their Virtual Private Cloud network (VPC network). You are

a member of the HRL security team and you need to configure the update that will allow only the Fastly IP

address ranges through the External HTTP(S) load balancer. Which command should you use?

Options:

A.

Apply a Cloud Armor security policy to external load balancers using a named IP list for Fastly.


B.

Apply a Cloud Armor security policy to external load balancers using the IP addresses that Fastly has published. C. Apply a VPC firewall rule on port 443 for Fastly IP address ranges.


C.

Apply a VPC firewall rule on port 443 for network resources tagged with scurceiplisr-fasrly.


Expert Solution
Questions # 3:

For this question, refer to the Helicopter Racing League (HRL) case study. The HRL development team

releases a new version of their predictive capability application every Tuesday evening at 3 a.m. UTC to a

repository. The security team at HRL has developed an in-house penetration test Cloud Function called Airwolf.

The security team wants to run Airwolf against the predictive capability application as soon as it is released

every Tuesday. You need to set up Airwolf to run at the recurring weekly cadence. What should you do?

Options:

A.

Set up Cloud Tasks and a Cloud Storage bucket that triggers a Cloud Function.


B.

Set up a Cloud Logging sink and a Cloud Storage bucket that triggers a Cloud Function.


C.

Configure the deployment job to notify a Pub/Sub queue that triggers a Cloud Function.


D.

Set up Identity and Access Management (IAM) and Confidential Computing to trigger a Cloud Function.


Expert Solution
Questions # 4:

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction

accuracy from their ML prediction models. They want you to use Google’s AI Platform so HRL can understand

and interpret the predictions. What should you do?

Options:

A.

Use Explainable AI.


B.

Use Vision AI.


C.

Use Google Cloud’s operations suite.


D.

Use Jupyter Notebooks.


Expert Solution
Questions # 5:

For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud

infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video

encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted

after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you

do?

Options:

A.

Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for

analysis.


B.

Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.


C.

Use the gcloud recommender command to list the idle virtual machine instances.


D.

From the Google Console, identify which Compute Engine instances in the managed instance groups are

no longer responding to health check probes.


Expert Solution
Questions # 6:

Your operations team has asked you to help diagnose a performance issue in a production application that runs on Compute Engine. The application is dropping requests that reach it when under heavy load. The process list for affected instances shows a single application process that is consuming all available CPU, and autoscaling has reached the upper limit of instances. There is no abnormal load on any other related systems, including the database. You want to allow production traffic to be served again as quickly as possible. Which action should you recommend?

Options:

A.

Change the autoscaling metric to agent.googleapis.com/memory/percent_used.


B.

Restart the affected instances on a staggered schedule.


C.

SSH to each instance and restart the application process.


D.

Increase the maximum number of instances in the autoscaling group.


Expert Solution
Questions # 7:

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective

approach for storing their race data such as telemetry. They want to keep all historical records, train models

using only the previous season ' s data, and plan for data growth in terms of volume and information collected.

You need to propose a data solution. Considering HRL business requirements and the goals expressed by

CEO S. Hawke, what should you do?

Options:

A.

Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data

by season and event.


B.

Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data

using season as a primary key.


C.

Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on

season.


D.

Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use

separate database instances for each season.


Expert Solution
Questions # 8:

For this question, refer to the JencoMart case study.

JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?

Options:

A.

Error rates for requests from Asia


B.

Latency difference between US and Asia


C.

Total visits, error rates, and latency from Asia


D.

Total visits and average latency for users in Asia


E.

The number of character sets present in the database


Expert Solution
Questions # 9:

For this question, refer to the JencoMart case study.

The migration of JencoMart’s application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)

Options:

A.

A single VPN tunnel, which limits throughput


B.

A tier of Google Cloud Storage that is not suited for this task


C.

A copy command that is not suited to operate over long distances


D.

Fewer virtual machines (VMs) in GCP than on-premises machines


E.

A separate storage layer outside the VMs, which is not suited for this task


F.

Complicated internet connectivity between the on-premises infrastructure and GCP


Expert Solution
Questions # 10:

For this question, refer to the JencoMart case study.

JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

Options:

A.

Cloud Spanner


B.

Google BigQuery


C.

Google Cloud SQL


D.

Google Cloud Datastore


Expert Solution
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