GCP

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?

1

שאלה #96522

		Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.
		Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
		Use the gcloud recommender command to list the idle virtual machine instances.
		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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Tal Eilon 0 נקודות · יותר מ-6 חודשים

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https://www.examtopics.com/discussions/google/view/56328-exam-professional-cloud-architect-topic-3-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?

1

שאלה #96523

		Set up Cloud Tasks and a Cloud Storage bucket that triggers a Cloud Function.
		Set up a Cloud Logging sink and a Cloud Storage bucket that triggers a Cloud Function.
		Configure the deployment job to notify a Pub/Sub queue that triggers a Cloud Function.
		Set up Identity and Access Management (IAM) and Confidential Computing to trigger a Cloud Function.

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https://www.examtopics.com/discussions/google/view/56890-exam-professional-cloud-architect-topic-3-question-3/

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?

1

שאלה #96524

		Store the card data in Secret Manager after running a query to identify duplicates.
		Encrypt the card data with a deterministic algorithm stored in Firestore using Datastore mode.
		Encrypt the card data with a deterministic algorithm and shard it across multiple Memorystore instances.
		Use column-level encryption to store the data in Cloud SQL.

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https://www.examtopics.com/discussions/google/view/65937-exam-professional-cloud-architect-topic-3-question-1/

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?

1

שאלה #96525

		A
		B
		C
		D

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https://www.examtopics.com/discussions/google/view/68709-exam-professional-cloud-architect-topic-3-question-2/

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?

1

שאלה #96526

		Use Explainable AI.
		Use Vision AI.
		Use Google Cloud's operations suite.
		Use Jupyter Notebooks.

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https://www.examtopics.com/discussions/google/view/56322-exam-professional-cloud-architect-topic-3-question-4/

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?

1

שאלה #96527

		Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data by season and event.
		Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data using season as a primary key.
		Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on season.
		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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https://www.examtopics.com/discussions/google/view/56326-exam-professional-cloud-architect-topic-3-question-5/

For this question, refer to the TerramEarth case study. You are building a microservice-based application for TerramEarth. The application is based on Docker containers. You want to follow Google-recommended practices to build the application continuously and store the build artifacts. What should you do?

1

שאלה #96528

		Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build container images for each microservice, and tag them using the code commit hash. Push the images to the Container Registry.
		Configure a trigger in Cloud Build for new source changes. The trigger invokes build jobs and build container images for the microservices. Tag the images with a version number, and push them to Cloud Storage.
		Create a Scheduler job to check the repo every minute. For any new change, invoke Cloud Build to build container images for the microservices. Tag the images using the current timestamp, and push them to the Container Registry.
		Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build one container image, and tag the image with the label 'latest.' Push the image to the Container Registry.

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https://www.examtopics.com/discussions/google/view/60563-exam-professional-cloud-architect-topic-10-question-5/

Tal Eilon 0 נקודות · יותר מ-6 חודשים

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לפי שיטת יניב - נפסול את התשובה שמתחילה בcreate. נפסול את התשובה שממשיכה עם the rigeer invokes כי היא השונה.. נשים לב שכל התשובות מתייחסות לתמונות ברבים מלבד אחת ונישאר עם המכנה המשותף הגדול ביותר - configure, invoke, images

For this question, refer to the TerramEarth case study. You have broken down a legacy monolithic application into a few containerized RESTful microservices. You want to run those microservices on Cloud Run. You also want to make sure the services are highly available with low latency to your customers. What should you do?

1

שאלה #96529

		Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTTP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.
		Deploy Cloud Run services to multiple regions. Create serverless network endpoint groups pointing to the services. Add the serverless NEGs to a backend service that is used by a global HTTP(S) Load Balancing instance.
		Deploy Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.
		Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.

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https://www.examtopics.com/discussions/google/view/60525-exam-professional-cloud-architect-topic-10-question-2/

Tal Eilon 0 נקודות · יותר מ-6 חודשים

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RESTful - > NEGs

For this question, refer to the TerramEarth case study. You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google's recommended best practices. What should you do?

1

שאלה #96530

		Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request. Pass the same token to func_query and reject the invocation if the tokens are different.
		Make func_query 'Require authentication.' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
		Make func_query 'Require authentication' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
		Create those two functions in the same project and VPC. Make func_query only accept internal traffic. Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.

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https://www.examtopics.com/discussions/google/view/60524-exam-professional-cloud-architect-topic-10-question-1/

For this question, refer to the TerramEarth case study. TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a "Site is unavailable" page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost. What should you do?

1

שאלה #96531

		Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
		Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
		Create a Cloud Monitoring uptime check to validate the application URL. If it fails, put a message in a Pub/Sub queue that triggers a Cloud Function to switch the URL to the "Site is unavailable" page, and notify the Ops team.
		Use Cloud Error Reporting to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.

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https://www.examtopics.com/discussions/google/view/60562-exam-professional-cloud-architect-topic-10-question-4/

Discuss, Learn and be Happy דיון בשאלות

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?

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