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Google Cloud Digital Leader Exam is a computer-based exam that can be taken from anywhere with an internet connection. Cloud-Digital-Leader exam is timed, and individuals have 120 minutes to complete it. Cloud-Digital-Leader Exam consists of multiple-choice questions that are designed to test an individual's knowledge and understanding of the Google Cloud Platform.

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Google Cloud Digital Leader Sample Questions (Q222-Q227):

NEW QUESTION # 222
Your organization is developing a plan for migrating to Google Cloud.
What is a best practice when initially configuring your Google Cloud environment?

A. Create projects based on tem members' requests
B. Create a project via Google Cloud Console per department in your company
C. Define your resource hierarchy with an organization node on top
D. Make every member of your company the project owner

Answer: C

NEW QUESTION # 223
A startup client of yours does offline data processing for a few of its clients. They are mi-grating their applications and the associated data to Google Cloud. They have 100TB of data to move. They presently have a very small private data center setup connected to a local internet provider. The maximum bandwidth they are able to get is 100Mbps. How long will it take them to transfer the data over the internet if the transfer goes smoothly?

A. About 100 days.
B. About 24 hours.
C. About 2 years.
D. About 12 days.

Answer: A

Explanation:
Explanation
The key reason I included this question is to clarify some terminologies that will be important for your estimates. The data size mentioned is a TB terabyte. Note the "byte". The speed is mentioned in Mbps, which is Megabits per second. Note the "bits". 8 bits make a byte. So, to get the actual number of bits transferred, you need to multiply the TB number by 8.
Total data transferred (in bits) = 100 * 1,000,000,000,000 * 8 bits
Speed = 100Mbps = 100 * 1,000,000. i.e. 100 million bits are transferred per second.
Hence time taken to transfer all the data = Total Data/Speed = 8,000,000 seconds.
Number of seconds in a day = 24*60*60 = 86,400
Total time taken in days = 8,000,000/86,400 = 92.59 days
Reference link
- https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets#online_versu

NEW QUESTION # 224
Your organization wants to optimize its use of Google Cloud's discounts on virtual machine-based workloads. You plan to use 200 CPUs constantly for the next 3 years, and you forecast that spikes of up to 300 CPUs will occur approximately 30% of the time. What should you choose?

A. 1-year committed use discount for 200 CPUs
B. 3-year committed use discount for 200 CPUs
C. 3-year committed use discount for 300 CPUs
D. Regular pay-as-you-go pricing

Answer: D

NEW QUESTION # 225
An organization runs a batch data analysis workload on a virtual machine (VM). The workload can be easily restarted without losing work, and is not time critical. Organizations must choose the lowest cost option to run the workload. What option should they choose?

A. A custom VM in a pay-as-you-go model on Compute Engine
B. A Cloud Function with a small memory limit
C. A standard VM in a pay-as-you-go model on Compute Engine
D. A Preemptible or Spot VM on Compute Engine

Answer: D

Explanation:
The correct answer is C. A Preemptible or Spot VM on Compute Engine. Here's why:
Context of the Questio n : The organization runs a batch data analysis workload that is not time-critical and can be restarted without losing work, and they want to choose the lowest-cost option.
Google Cloud Product Relevance:
Preemptible VMs (also known as Spot VMs) are short-lived compute instances that offer a significantly lower cost than standard VMs. They are ideal for non-time-critical workloads that can be interrupted and restarted, such as batch data analysis.
Spot VMs are a cost-effective choice for workloads that can tolerate interruptions, providing substantial cost savings compared to standard VMs.
Why Not Other Options:
A . A standard VM in a pay-as-you-go model on Compute Engine: This would be more expensive than using preemptible or spot VMs.
B . A Cloud Function with a small memory limit: Cloud Functions are designed for event-driven tasks, not for long-running batch data analysis.
D . A custom VM in a pay-as-you-go model on Compute Engine: This would also be more expensive compared to using preemptible or spot VMs.
Google Cloud Digital Leader Reference:
Refer to Compute Engine Spot VMs documentation to understand how to use and benefit from Spot VMs for cost savings.

NEW QUESTION # 226
Which of the following statements describe the features of a preemptible VM in-stance? (Select Three Answer)

A. Can be pre-empted with a 30 minute notice
B. Instance is alive for no more than 24 hours
C. Instance is alive for no more than 12 hours
D. Can be pre-empted with a 30 second notice
E. Can use free tier credits
F. Discounted Significantly

Answer: B,D,F

Explanation:
Instance is alive for no more than 24 hours, Can be pre-empted with a 30 second notice, Discounted Significantly.
Preemptible VM is an instance that you can create and run at a lower cost than normal instances.
However, Compute Engine might stop (pre-empt) these instances if it requires access to those resources for other tasks. Preemptible instances are excess Compute Engine capacity, so their availability varies with usage.
Live at most 24 hours Can be pre-empted with a 30 second notification via API and are Discounted significantly Reference link- https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 227
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