Professional-Cloud-Architect Practice Test Questions Answers Updated 378 Questions
Professional-Cloud-Architect dumps & Google Cloud Certified Sure Practice with 378 Questions
Google Professional-Cloud-Architect certification is recognized globally and is highly valued by organizations that want to build and implement cloud solutions using Google Cloud Platform. It is an excellent way for professionals to showcase their expertise in cloud architecture and design and demonstrate their commitment to continuous learning and professional development.
NEW QUESTION # 139
You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and work on different workstations during the week You want to avoid having to manage the gcloud CLI manually What should you do?
- A. Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud
- B. Create a Compute Engine instance and install gcloud on the instance Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud
- C. Use a package manager to install gcloud on your workstations instead of installing it manually
- D. Install gcloud on all of your workstations Run the command gcloud components auto-update on each workstation
Answer: D
Explanation:
This option allows you to use the gcloud CLI tool without having to install or manage it manually on different workstations. Google Cloud Shell is a browser-based command-line tool that provides you with a temporary Compute Engine virtual machine instance preloaded with the Cloud SDK, including the gcloud CLI tool. You can access Google Cloud Shell from any web browser and use it to interact with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool. The other options are not optimal for this scenario, because they either require installing and updating the gcloud CLI tool on multiple workstations (A, C), or creating and maintaining a Compute Engine instance for the sole purpose of using the gcloud CLI tool (B). References:
https://cloud.google.com/shell/docs/overview
https://cloud.google.com/sdk/gcloud/
NEW QUESTION # 140
For this question, refer to the TerramEarth case study
You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?
- A. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.
- B. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
- C. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
- D. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
Answer: C
Explanation:
Explanation
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
References: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data
NEW QUESTION # 141
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling \--min-nodes 1 -- max-nodes 10 --zone [COMPUTE_ZONE] --node-pool default-pool
NEW QUESTION # 142
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: A
Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling \--min-nodes 1 --max-nodes 10
--zone [COMPUTE_ZONE] --node-pool default-pool
NEW QUESTION # 143
Your company is designing its application landscape on Compute Engine. Whenever a zonal outage occurs, the application should be restored in another zone as quickly as possible with the latest application dat a. You need to design the solution to meet this requirement. What should you do?
- A. Configure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another region. Use the regional persistent disk for the application data,
- B. Configure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another zone in the same region. Use the regional persistent disk for the application data.
- C. Create a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in the same zone.
- D. Create a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in another zone within the same region.
Answer: B
NEW QUESTION # 144
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?
- A. Batch every 10,000 events with a single manifest file for metadata.
Compress event files and manifest file into a single archive file.
Name files using serverName-EventSequence.
Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket. - B. Append metadata to file body.
Compress individual files.
Name files with a random prefix pattern.
Save files to one bucket - C. Compress individual files.
Name files with serverName-EventSequence.
Save files to one bucket
Set custom metadata headers for each object after saving. - D. Append metadata to file body.
Compress individual files.
Name files with serverName-Timestamp.
Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket
Answer: D
NEW QUESTION # 145
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?
- A. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- B. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.
- C. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
- D. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.
- E. In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
Answer: A
Explanation:
Explanation
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
References: https://cloud.google.com/compute/docs/disks/add-persistent-disk
NEW QUESTION # 146
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?
- A. Stream data into Google Cloud Datastore
- B. Insert data into Google Cloud SQL
- C. Load data into Google BigQuery
- D. Put flat files into Google Cloud Storage
Answer: C
Explanation:
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
Reference: https://cloud.google.com/bigquery/
NEW QUESTION # 147
You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and work on different workstations during the week You want to avoid having to manage the gcloud CLI manually What should you do?
- A. Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud
- B. Install gcloud on all of your workstations Run the command gcloud components auto-update on each workstation
- C. Create a Compute Engine instance and install gcloud on the instance Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud
- D. Use a package manager to install gcloud on your workstations instead of installing it manually
Answer: A
Explanation:
This option allows you to use the gcloud CLI tool without having to install or manage it manually on different workstations. Google Cloud Shell is a browser-based command-line tool that provides you with a temporary Compute Engine virtual machine instance preloaded with the Cloud SDK, including the gcloud CLI tool. You can access Google Cloud Shell from any web browser and use it to interact with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool. The other options are not optimal for this scenario, because they either require installing and updating the gcloud CLI tool on multiple workstations (A, C), or creating and maintaining a Compute Engine instance for the sole purpose of using the gcloud CLI tool (B). Reference:
https://cloud.google.com/shell/docs/overview
https://cloud.google.com/sdk/gcloud/
NEW QUESTION # 148
Your company has an application deployed on Anthos clusters (formerly Anthos GKE) that is running multiple microservices. The cluster has both Anthos Service Mesh and Anthos Config Management configured. End users inform you that the application is responding very slowly. You want to identify the microservice that is causing the delay. What should you do?
- A. Use Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.
- B. Reinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.
- C. Use the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
- D. Use Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.
Answer: C
Explanation:
The Anthos Service Mesh pages in the Google Cloud Console provide both summary and in-depth metrics, charts, and graphs that enable you to observe service behavior. You can monitor the overall health of your services, or drill down on a specific service to set a service level objective (SLO) or troubleshoot an issue. https://cloud.google.com/service-mesh/docs/observability/explore-dashboard
https://cloud.google.com/anthos/service-mesh
NEW QUESTION # 149
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
- A. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
- B. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
- C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
- D. Container Engine, Cloud Pub/Sub, and Cloud SQL
- E. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Answer: A
NEW QUESTION # 150
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents.
Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?
- A. NoSQL
- B. Flat file
- C. Relational
- D. Blobstore
Answer: A
NEW QUESTION # 151
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?
- A. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: A
Explanation:
https://cloud.google.com/blog/products/management-tools/how-to-use-pubsub-as-a-cloud-monitoring-notification-channel
NEW QUESTION # 152
You have an application deployed on Kubernetes Engine using a Deployment named echo- deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?
- A. Use kubectl set image deployment/echo-deployment <new-image>
- B. Update the service yaml file which the new container image. Use kubectl delete service/ echo- service and kubectl create <yaml-file>
- C. Update the deployment yaml file with the new container image. Use kubectl delete deployment/echo-deployment and kubectl create <yaml-file>
- D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
Answer: D
NEW QUESTION # 153
A large, multinational corporation is migrating to Google Cloud. The company has several distinct business units: Finance, Marketing, and Research and Development (R&D). The central security team has mandated governance requirements for each business unit:.
- Finance: Must be restricted to deploying resources only in specific,
compliant regions (us-central1 and europe-west2). Access to their
projects must be tightly controlled by a dedicated finance-admins
group.
- Marketing: Needs separate environments for production and
development, with different teams managing each environment.
- R&D: Requires maximum flexibility to experiment with new services but must be completely isolated to prevent any impact on production systems.
- Global Auditing: A central compliance team requires read-only access
to view all resources across the entire company for auditing purposes.
You need to design a resource hierarchy that enforces these security policies at scale according to the Google Cloud Well-Architected Framework while providing the correct level of autonomy for each business unit. What should you do?
- A. Create separate Google Cloud Organizations for each department (Finance, Marketing, and R&D). Grant the compliance team the roles/viewer role for each organization.
- B. Place all projects directly under the Organization node. Use network tags and service accounts to enforce security boundaries between the different department workloads. Apply the resource location Organization Policy on the Finance project.
- C. Create a single project for each department. Apply the resource location policy directly to the Finance project. Grant the compliance team the roles/browser role on each project individually.
- D. Create a folder for each department under the root Organization node. Apply the resource location Organization Policy on the Finance folder. Within the Marketing folder, create separate projects for mktg-prod and mktg-dev. Grant the compliance team the roles/viewer role at the Organization level.
Answer: D
Explanation:
Using folders per business unit enables scalable policy enforcement and delegated administration. Applying the resource location restriction at the Finance folder level enforces compliant regions for all Finance projects, while IAM on that folder allows tight control via the finance-admins group. Separate Marketing projects for production and development provide clear environment separation and independent administration. Keeping R&D within its own folder supports strong isolation from production through folder-level policies and IAM while still allowing flexibility. Granting the auditing team read-only access at the Organization level provides consistent visibility across all resources without per-project management overhead.
NEW QUESTION # 154
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?
- A. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
- B. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
- C. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
- D. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
Answer: A
NEW QUESTION # 155
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