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NEW QUESTION 34
An organization has had a data leak scare because one employee made a sensitive Cloud Storage bucket available to the public. Given the nature of the company's business, it is understood that there is never any reason to give the public direct access to any file. The security head wants to ensure that such an event never occurs again. How can you ensure this?

  • A. Set an organizational policy constraint to restrict bucket access set to the public.
  • B. Write Cloud Functions code connected to Cloud Storage. Any changes will be notified to the function which can be used to reset the public access.
  • C. Remove Edit access rights of all Cloud Storage buckets so that no user can make any edits.
  • D. Use Cloud Scheduler to run a job at a specified interval to scan buckets. Any public permissions can be programmatically changed.

Answer: A

Explanation:
The straightforward way to set it is using Organizational Policy constraint. Any attempts to change the organizational setting will be rejected for any project and resource.
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References link:
-> https://cloud.google.com/resource-manager/docs/organization-policy/overview
-> https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints

 

NEW QUESTION 35
Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?

  • A. BigQuery ML
  • B. Cloud Vision API
  • C. AutoML Video Intelligence
  • D. AutoML Tables

Answer: D

 

NEW QUESTION 36
Which of the following statements is / are correct about Machine Learning?

  • A. Robotic process automation (RPA) can not be attached with ML.
  • B. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
  • C. Machine learning automates the job of building statistical models with Human In-tervention.
  • D. None of the Above.

Answer: B

Explanation:
Customer service
Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.

 

NEW QUESTION 37
A startup is planning to create their entire suite of applications on Google Cloud. They are looking at various open source technologies to build applications. One of the considera-tion is about having a well integrated monitoring tool. They have to be able to constantly review load capacity and performance of their applications and virtual machines. What would you advise them to do?

  • A. It is best to build a custom solution so that they know it integrates well with all their custom applications.
  • B. Use the Google Cloud Operations Suite which contains monitoring among other operations tools.
  • C. Since they are using open source for applications, find another open source monitoring tool and integrate it, which could turn out to be very cheap.
  • D. Update the application code to regularly write to output logs. Export the logs to BigQuery to analyze them frequently.

Answer: B

Explanation:
Operations Suite is well integrated into Google and it s the recommended option.
References: https://cloud.google.com/products/operations

 

NEW QUESTION 38
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