Free Google Cloud Architect Professional Exam Braindumps (page: 24)

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Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
Which cloud infrastructure should you recommend?

  1. Google Compute Engine unmanaged instance groups and Network Load Balancer
  2. Google Compute Engine managed instance groups with auto-scaling
  3. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
  4. Google App Engine with Google Stackdriver for logging

Answer(s): B

Explanation:

https://cloud.google.com/compute/docs/instance-groups/ Google Compute Engine enables users to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users.

Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load.

Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower.



Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process.
What should you do?

  1. Create custom Google Stackdriver alerts and send them to the auditor.
  2. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.
  3. Use cloud functions to transfer log entries to Google Cloud SQL and use ACLS and views to limit an auditor's view.
  4. Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to the bucket.

Answer(s): D

Explanation:

Export the logs to Google Cloud Storage bucket - Archive Storage, as it will not be used for 1 year, price for which is $0.004 per GB per Month. The price for long term storage in BigQuery is $0.01 per GB per Month (250% more). Also for analysis purpose, whenever Auditors are there(once per year), you can use BigQuery and use GCS bucket as external data source. BigQuery supports querying Cloud Storage data from these storage classes:

Standard Nearline Coldline Archive



You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely.
Where should you store the credentials?

  1. In the source code
  2. In an environment variable
  3. In a secret management system
  4. In a config file that has restricted access through ACLs

Answer(s): C

Explanation:

https://cloud.google.com/docs/authentication/production#providing_credentials_to_your_applicati on



The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud.
Which three practices should you recommend? Choose 3 answers

  1. Port the application code to run on Google App Engine.
  2. Integrate Cloud Dataflow into the application to capture real-time metrics.
  3. Instrument the application with a monitoring tool like Stackdriver Debugger.
  4. Select an automation framework to reliably provision the cloud infrastructure.
  5. Deploy a continuous integration tool with automated testing in a staging environment.
  6. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.

Answer(s): A,E,F


Reference:

https://cloud.google.com/appengine/docs/standard/java/tools/uploadinganapp https://cloud.google.com/appengine/docs/standard/java/building-app/cloud-sql






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