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Google Cloud Digital Leader Sample Questions (Q228-Q233):

NEW QUESTION # 228
Virtual Machine vCPU and memory usage for each of these categories can receive one of the following discounts? (Select Three Answer)

A. Committed-Use
B. Sustained-Use
C. Spot Instances
D. Preemptible VMs
E. Military Discounts

Answer: A,B,D

Explanation:
Sustained, Committed and Preemptible
vCPU and memory usage for each of these categories can receive discounts VM vCPU and memory usage for each of these categories can receive discounts Sustained-use discounts-Google offers up to 30% off for workloads that run for most of the billing month on GCP services.
Committed-use discounts-users can save up to 57% by committing to use an instance for a certain time period, with no upfront payment and with the flexibility to change instances during the commitment period.
Preemptible VMs-similar to the concept of AWS spot instances, Google offers up to 79% off for Virtual Machines that may be shut down at any time and replaced by others.
Reference link- https://cloud.google.com/compute/docs/sustained-use-discounts Reference link- https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts Reference link- https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 229
An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals. How can Google Cloud services help the organization?

A. Secure data access by using Identity and Access Management.
B. Provide access to third-party developers by creating an API using Apigee.
C. Move data from BigQuery to Cloud Storage to reduce storage costs.
D. Create a model in BiaQuery to Dredict future maintenance schedules.

Answer: D

Explanation:
The correct answer is D. Create a model in BigQuery to predict future maintenance schedules. Here's why:
* Context of the Question: The organization wants to use Google Cloud services to efficiently upgrade and maintain their network to reduce waste and achieve sustainability goals.
* Google Cloud Product Relevance:
* BigQuery is a fully managed data warehouse that supports SQL queries for analyzing large datasets. It also has built-in machine learning capabilities (BigQuery ML) that allow users to create and train models directly within the database using SQL.
* By creating a predictive model in BigQuery, the organization can analyze historical data to forecast future maintenance needs, optimize upgrade schedules, and minimize waste, aligning with their sustainability goals.
* Why Not Other Options:
* A. Secure data access by using Identity and Access Management: While IAM is important for securing access, it does not directly help with maintenance prediction or sustainability goals.
* B. Move data from BigQuery to Cloud Storage to reduce storage costs: This option focuses on cost savings, not on improving operational efficiency or achieving sustainability goals.
* C. Provide access to third-party developers by creating an API using Apigee: This is not directly related to the goal of optimizing maintenance and reducing waste.
Google Cloud Digital Leader References:
* Refer to BigQuery ML documentation to learn how to create and use machine learning models within BigQuery.

NEW QUESTION # 230
You are a program manager in a company and handling a project and you need to create a virtual machine on google cloud console that will be very simple to set up, by flipping a bit via command, API, or with developer console that gives you 30 seconds to shut down when you're preempted, allow you to save your work that also helps in the company budget upto 70-80% of less charges than the regular VMs.

A. Preemptible Virtual Machines.
B. None of the above.
C. Bare Metal Solutions
D. Google Cloud VM Instances

Answer: A

Explanation:
Preemptible VMs have all these features
Simple configuration
Create a preemptible instance simply by flipping a bit via command, API, or developer console.
Easy extensibility
Attach GPUs and local SSDs to preemptible instances for additional performance and savings.
Graceful shutdown
Compute Engine gives you 30 seconds to shut down when you're preempted, letting you save your work in progress for later.
Large scale computing
Spin up as many instances as you need and turn them off when you're done. You only pay for what you use.
Quickly reclaim capacity
Managed instance groups automatically recreate your instances when they're preempted (if capacity is available).
Fixed pricing
Preemptible VMs have fixed pricing up to 80% off regular instances. They show up on your bill separately so you'll see just how much you're saving.

NEW QUESTION # 231
When customer data is uploaded to Google Cloud, who owns the data?

A. The customer and Google share ownership
B. A third party
C. The customer
D. Google

Answer: C

Explanation:
When data is uploaded to Google Cloud, the customer retains full ownership of their data. Google Cloud acts as the data processor, providing the infrastructure and services for storage, but the rights to the data, including access, control, and management, remain with the customer.
Option B: The customer is correct because, according to Google Cloud's data privacy policy, the customer owns their data.
References:
* Google Cloud Privacy Policy: Data Ownership and Responsibility
* Google Cloud Trust Principles: Data Protection and Privacy

NEW QUESTION # 232
Your customer has a reporting tool that is only occasionally used by the leadership team. Usage of it is frequent - once a week, once a month, or once the quarter. They want to run this application in a cost-effective manner. What are the compute options available on Google Cloud which would be suitable? (Choose Two answer)

A. Kubernetes Engine
B. Cloud Run
C. Cloud App Engine Standard
D. Compute Engine

Answer: B,C

Explanation:
Explanation
Since the use of the tool is infrequent/intermittent, you can choose to compute options that are serverless. Both Cloud Run and Cloud App Engine Standard are serverless options that can shut down to zero. Since cost-effectiveness is a requirement, this will not cost anything during the periods it is not used.

NEW QUESTION # 233
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