Free Google Cloud Architect Professional Exam Braindumps (page: 31)

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You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction.
Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers

  1. Introduce a green-blue deployment model.
  2. Replace the QA environment with canary releases.
  3. Fragment the monolithic platform into microservices.
  4. Reduce the platform's dependency on relational database systems.
  5. Replace the platform's relational database systems with a NoSQL database.

Answer(s): A,C



An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log dat

  1. You want to help them find a solution that meets their needs, what should you do?
  2. Direct them to download and install the Google StackDriver logging agent.
  3. Send them a list of online resources about logging best practices.
  4. Help them define their requirements and assess viable logging tools.
  5. Help them upgrade their current tool to take advantage of any new features.

Answer(s): C

Explanation:

Help them define their requirements and assess viable logging tools. They know the requirements and the existing tools' problems.
While it's true StackDriver Logging and Error Reporting possibly meet all their requirements, there might be other tools also meet their need. They need you to provide expertise to make assessment for new tools, specifically, logging tools that can "capture errors and help them analyze their historical log data".


Reference:

https://cloud.google.com/logging/docs/agent/installation



A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.
What is the most likely cause of this problem?

  1. The session variable is local to just a single instance.
  2. The session variable is being overwritten in Cloud Datastore.
  3. The URL of the API needs to be modified to prevent caching.
  4. The HTTP Expires header needs to be set to -1 to stop caching.

Answer(s): A

Explanation:

https://stackoverflow.com/questions/3164280/google-app-engine-cache-list-in-session- variable?rq=1



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?

  1. Load data into Google BigQuery.
  2. Insert data into Google Cloud SQL.
  3. Put flat files into Google Cloud Storage.
  4. Stream data into Google Cloud Datastore.

Answer(s): A

Explanation:

Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface .
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7 https://cloud.google.com/solutions/bigquery-data-warehouse https://cloud.google.com/bigquery/

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/






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