EFFICIENT CLOUD-DIGITAL-LEADER EXAMS DUMPS, RELIABLE CLOUD-DIGITAL-LEADER DUMPS FILES

Efficient Cloud-Digital-Leader Exams Dumps, Reliable Cloud-Digital-Leader Dumps Files

Efficient Cloud-Digital-Leader Exams Dumps, Reliable Cloud-Digital-Leader Dumps Files

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Tags: Cloud-Digital-Leader Exams Dumps, Reliable Cloud-Digital-Leader Dumps Files, Valid Cloud-Digital-Leader Test Pdf, Cloud-Digital-Leader Authorized Certification, Cloud-Digital-Leader New Practice Materials

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Google Cloud Digital Leader Certification Exam covers a wide range of topics, including cloud computing fundamentals, Google Cloud Platform services, data analytics, machine learning, and artificial intelligence. It also tests an individual's ability to design and implement digital transformation strategies and manage change within an organization.

Google Cloud Digital Leader Certification Exam is a professional certification provided by Google Cloud. Google Cloud Digital Leader certification is designed to validate and recognize individuals who have the necessary skills and knowledge to lead digital transformation initiatives using Google Cloud technologies. The Google Cloud Digital Leader Certification Exam is one of the most respected exams in the IT industry, and it is a great way to demonstrate your expertise in cloud computing, digital transformation, and leadership.

Google Cloud Digital Leader Exam is a valuable certification for professionals who are involved in leading digital transformation initiatives. It covers a range of topics related to the Google Cloud Platform and requires extensive knowledge of the platform. By passing Cloud-Digital-Leader Exam, professionals can demonstrate their expertise and showcase their skills to potential employers and clients.

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Google Cloud Digital Leader Sample Questions (Q313-Q318):

NEW QUESTION # 313
Which of the following is true while creating a boot persistent disk from a snapshot.

  • A. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
  • B. After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.
  • C. It is only possible to apply data from a snapshot when you first create a persistent disk.
  • D. All of the above.

Answer: D

Explanation:
Explanation
When you create a virtual machine (VM) instance, you must also create a boot disk for the VM. You can use a public image, a custom image, or a snapshot that was taken from another boot disk. When you create a boot disk, limit the disk size to 2 TB to account for the limitations of MBR partitioning.
Compute Engine automatically creates a boot persistent disk when you create an instance. If you require additional data storage space for your instances, add one or more secondary instance storage options.
You might need to create a standalone boot persistent disk and attach it to an instance later, or resize a boot persistent disk to improve performance and add more space for additional applications or operating system files. That process is described in Add or resize a persistent disk.
As a best practice, do not use regional persistent disks for boot disks. In a failover situation, they do not force-attach to a VM.
After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks. It is only possible to apply data from a snapshot when you first create a persistent disk. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.


NEW QUESTION # 314
What is the purpose of an application programming interface (API)?

  • A. To provide cloud plugins for integrated development environments
  • B. To manage multiple containerized workloads
  • C. To connect networks from different cloud providers
  • D. To provide a set of instructions that allow computer programs to communicate with each other

Answer: D

Explanation:
An Application Programming Interface (API) is a set of protocols, routines, and tools that allow different software applications to communicate with each other. APIs provide the necessary instructions for one program to interact with another, enabling the integration of different systems and the development of new functionalities.
Option D: To provide a set of instructions that allow computer programs to communicate with each other is correct because it accurately describes the fundamental purpose of an API.
Reference:
Google Cloud: Understanding APIs and their Use Cases
Google Cloud API Documentation: API Basics


NEW QUESTION # 315
You are storing sensitive information in a Cloud Storage bucket. For legal reasons, you need to be able to record all requests that read any of the stored data. You want to make sure you comply with these requirements. What should you do?

  • A. Scan the bucket using the Data Loss Prevention API.
  • B. Enable the Identity Aware Proxy API on the project.
  • C. Enable Data Access audit logs for the Cloud Storage API.
  • D. Allow only a single Service Account access to read the data.

Answer: C

Explanation:
Logged information
Your Google Cloud projects contain only the audit logs for resources that are directly within the Cloud project. Other Google Cloud resources, such as folders, organizations, and billing accounts, contain the audit logs for the entity itself.
Reference link- https://cloud.google.com/storage/docs/audit-logging


NEW QUESTION # 316
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

Explanation:
Explanation
Preemptible instances function like normal instances but have the following limitations:
-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this
24-hour counter.
-> Preemptible instances are finite Compute Engine resources, so they might not always be available.
-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.


NEW QUESTION # 317
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?

  • A. The model is fine since the test results are good. Fix the production of incoming data.
  • B. The model is over fitted. Add more features to the model to fix it.
  • C. The model is overfitted. Train with more data.
  • D. The model is under fitted. Train with less data.

Answer: C

Explanation:
Explanation
If our ML model does well on the training set than on the production set, then we're likely over fitting.
Training with more data would be one solution.


NEW QUESTION # 318
......

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