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Professional-Cloud-Architect Exam Dumps - Google Cloud Certified Questions and Answers

Question # 4

For this question, refer to the TerramEarth case study.

TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?

Options:

A.

Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.

B.

Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.

C.

Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.

D.

Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the jo

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Question # 5

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.

glouc compute firewall rules update hlr-policy \

--priority 1000 \

target tags-sourceiplist fastly \

--allow tcp:443

B.

gcloud compute security policies rules update 1000 \

--security-policy hlr-policy \

--expression "evaluatePreconfiguredExpr('sourceiplist-fastly')" \

--action " allow"

C.

gcloud compute firewall rules update

sourceiplist-fastly \

priority 1000 \

allow tcp: 443

D.

gcloud compute priority-policies rules update

1000 \

security policy from fastly

--src- ip-ranges"

-- action " allow"

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Question # 6

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.

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Question # 7

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.

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Question # 8

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.

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Question # 9

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.

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Question # 10

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.

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Question # 11

For this question, refer to the JencoMart case study.

JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

Options:

A.

Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).

B.

Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.

C.

Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs

D.

Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

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Question # 12

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

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Question # 13

For this question, refer to the JencoMart case study

A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem? Choose 3 answers

Options:

A.

Delete the virtual machine (VM) and disks and create a new one.

B.

Delete the instance, attach the disk to a new VM, and investigate.

C.

Take a snapshot of the disk and connect to a new machine to investigate.

D.

Check inbound firewall rules for the network the machine is connected to.

E.

Connect the machine to another network with very simple firewall rules and investigate.

F.

Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.

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Exam Name: Google Certified Professional - Cloud Architect (GCP)
Last Update: Feb 18, 2025
Questions: 275
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