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Google Cloud-Digital-Leader Exam Syllabus Topics:

Section	Objectives
Topic 1: Google Cloud Security and Operations	- Security principles in Google Cloud - Identity and access management basics - Monitoring, logging, and operations tools
Topic 2: Digital Transformation with Google Cloud	- Business value of cloud adoption - Google Cloud value proposition - Understanding digital transformation concepts
Topic 3: Infrastructure and Application Modernization	- Cloud infrastructure fundamentals - Application modernization approaches - Compute, storage, and networking basics
Topic 4: Data and Artificial Intelligence	- Machine learning and AI capabilities overview - Data-driven decision making - Data analytics fundamentals on Google Cloud

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Google Cloud Digital Leader Sample Questions (Q322-Q327):

NEW QUESTION # 322
All Google Cloud Platform services are associated with a project that is used to provide what functions?

A. Manage Container Deployments
B. Manage DNS Services
C. Enable Services and APIs
D. None of the Above

Answer: C

Explanation:
Enable Services and APIs

Reference link- https://cloud.google.com/storage/docs/projects

NEW QUESTION # 323
You decide to migrate your on-premises environment to the cloud. You need to determine which resource components still need to be assigned ownership.
Which two functions are owned by a public cloud provider? (Choose two.)

A. Hardware maintenance
B. Fixing application security issues
C. Hardware capacity management
D. Infrastructure architecture
E. Infrastructure deployment automation

Answer: A,C

Explanation:
Explanation
In a shared responsible model, hardware maintence and capacity management cloud provider is the responsible part.

NEW QUESTION # 324
Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?

A. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.
B. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.
C. Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.
D. Create reservations on Compute Engine and BigQuery.

Answer: D

Explanation:
Explanation
Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.
=> There is no need for involved support. It is self-serve via the console.
=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.
References:
https://cloud.google.com/compute/docs/instances/reserving-zonal-resources
https://cloud.google.com/bigquery/docs/reservations-intro

NEW QUESTION # 325
Which of the following is / are true for Preemptible Instances.

A. Preemptible Instances have no Service Level Agreement (Compute Engine SLA).
B. Preemptible instances can't live migrate to a regular VM instance, or be set to au-tomatically restart when there is a maintenance event.
C. Google Cloud Free Tier credits for compute engine do not apply to preemptible in-stances.
D. All of the above.

Answer: D

NEW QUESTION # 326
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?

A. TensorFlow
B. LookML
C. Cloud SQL
D. BigQuery ML

Answer: D

NEW QUESTION # 327
......

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