Professional-Cloud-Architect 試験問題を無料オンラインアクセス

Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

• A.Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.
• B.Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
• C.Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
• D.Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?

• A.Create an opt-in beta of the game that runs on players ' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
• B.Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
• C.Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
• D.Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

Your company has an application running on Compute Engine mat allows users to play their favorite music.
There are a fixed number of instances Files are stored in Cloud Storage and data is streamed directly to users.
Users are reporting that they sometimes need to attempt to play popular songs multiple times before they are successful. You need to improve the performance of the application. What should you do?

• A.1. Create a managed instance group with Compute Engine instances
  2. Create a global toad balancer and configure ii with two backbends
  * Managed instance group
  * Cloud Storage bucket
  3. Enable Cloud CDN on the bucket backend
• B.1. Copy popular songs into CloudSQL as a blob
  2. Update application code to retrieve data from CloudSQL when Cloud Storage is overloaded
• C.1. Mount the Cloud Storage bucket using gcsfuse on all backend Compute Engine instances
  2. Serve muse files directly from the backend Compute Engine instance
• D.1. Create a Cloud Filestore NFS volume and attach it to the backend Compute Engine instances
  2. Download popular songs in Cloud Filestore
  3. Serve music Wes directly from the backend Compute Engine instance

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis while managing cost.
What should you do?

• A.Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.
• B.Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.
• C.Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.
• D.Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

The operations team in your company wants to save Cloud VPN log events (or one year You need to configure the cloud infrastructure to save the logs What should you do?

• A.Set up a Cloud Logging Dashboard titled Cloud VPN Logs, and then add a chart that queries for the VPN metrics over a one-year time period
• B.Set up a filter in Cloud Logging and a topic in Pub/Sub to publish the logs
• C.Set up a filter in Cloud Logging and a Cloud Storage bucket as an export target for the logs you want to save
• D.Enable the Compute Engine API and then enable logging on the firewall rules that match the traffic you want to save