Google CLOUD-DIGITAL-LEADER Online Practice Questions and Exam Preparation

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 231:

  An organization is planning to deploy a new workload to Google Cloud. They need an accurate estimate of the likely costs of running the workload. How should the organization create this estimate?

  A. Use the Google Cloud Pricing Calculator.
  B. Deploy workload to test environment to observe costs.
  C. Use historic costs of an existing similar workload.
  D. Refer to pricing information and manually calculate an estimate.
  A. Use the Google Cloud Pricing Calculator.

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  The Google Cloud Pricing Calculator is a tool designed to help users estimate the cost of Google Cloud services based on their specific needs and configurations. It allows organizations to input various service usage parameters, such as storage, compute, and networking requirements, to calculate a detailed cost estimate. Use the Google Cloud Pricing Calculator is correct because it provides an accurate and comprehensive way to estimate the costs of running a workload on Google Cloud. References: Google Cloud Pricing Calculator: Cost Estimation Tool Google Cloud Cost Management: How to Use the Pricing Calculator

• Question 232:

  Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.

  What should you do to ensure that workloads in the development environment are fully isolated from production workloads?

  A. Apply a unique tag to development resources
  B. Associate the development resources with their own network
  C. Associate the development resources with their own billing account
  D. Put the development resources in their own project
  D. Put the development resources in their own project

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  https://www.deps.co/blog/google-cloud-platform-good-bad-ugly/ Project resources are components that are necessary for successful project implementation. They include people, equipment, money, time, knowledge ?basically, anything that you may require from the project planning to the project delivery phases.

• Question 233:

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

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  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

• Question 234:

  Your organization runs an application on virtual machines in Google Cloud. This application processes incoming images. This activity takes hours to create a result for each image. The workload for this application normally stays at a certain baseline level, but at regular intervals it spikes to a much greater workload. Your organization needs to control the cost to run this application.

  What should your organization do?

  A. Purchase committed use discounts for the baseline load
  B. Purchase committed use discounts for the expected spike load
  C. Leverage sustained use discounts for your virtual machines
  D. Run the workload on preemptible VM instances
  C. Leverage sustained use discounts for your virtual machines

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  The idea of the Sustained Use discount is that the longer you run a VM instance in any given month, the bigger discount you will get from the list price. Reference: https://www.parkmycloud.com/blog/google-sustained-use-discounts/

• Question 235:

  When customer data is uploaded to Google Cloud, who owns the data?

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

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  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. 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

• Question 236:

  An organization needs to store structured, semi-structured, and unstructured data in its raw, native format in the same repository.

  Which cloud data management solution should the organization use?

  A. Data field
  B. Data lake
  C. Database
  D. Data warehouse
  B. Data lake

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  A data lake can store all types of data with no fixed limitation on account size or file and with no specific purpose defined yet. The data comes from disparate sources and can be structured, semi-structured, or even unstructured. Data-lake data can be queried as needed. https://cloud.google.com/learn/what-is-a-data-lake A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native format and process any variety of it, ignoring size limits.

• Question 237:

  "With cloud messaging you can Customize and deliver messages accordingly to the predetermined time in the user's local time zone." Comment on the above statement.

  A. This statement is undefined.
  B. The above statement is partially true.
  C. The above statement is completely false.
  D. The above statement is completely true.
  D. The above statement is completely true.

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  Firebase Cloud Messaging: Firebase Cloud Messaging (FCM) is a cross-platform messaging solution that lets you reliably send messages at no cost. Using FCM, you can notify a client app that new email or other data is available to sync. You can send notification messages to drive user re-engagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4000 bytes to a client app. Key capabilities of Firebase Cloud Messaging: Send notification messages or data messages: Send notification messages that are displayed to your user. Or send data messages and determine completely what happens in your application code. Versatile message targeting: Distribute messages to your client app in any of 3 ways--to single devices, to groups of devices, or to devices subscribed to topics. Send messages from client apps: Send acknowledgments, chats, and other messages from devices back to your server over FCM's reliable and battery-efficient connection channel.

• Question 238:

  An organization has migrated all workloads to the cloud and is reviewing their cloud security posture.

  Who is now responsible for securing the physical infrastructure of the data centers?

  A. Third-party security service providers
  B. The organization
  C. The organization and the cloud service provider
  D. The cloud service provider
  D. The cloud service provider

• Question 239:

  What are the network requirements for Private Google Access?

  A. Private Google Access automatically enables any API.
  B. Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.
  C. Both A and B
  D. None of the Above
  B. Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.

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  Network requirements for Private Google Access: -Because Private Google Access is enabled on a per-subnet basis, you must use a VPC network. Legacy networks are not supported because they don't support subnets. -Private Google Access does not automatically enable any API. You must separately enable the Google APIs you need to use via the APIs and services page in the Google Cloud Console. -If you use the private.googleapis.com or the restricted.googleapis.com domain names, you'll need to create DNS records to direct traffic to the IP addresses associated with those domains. -Your network must have appropriate routes for the destination IP ranges used by Google APIs and services. These routes must use the default internet gateway next hop. If you use the private.googleapis.com or the restricted.googleapis.com domain names, you only need one route (per domain). Otherwise, you'll need to create multiple routes. -Egress firewalls must permit traffic to the IP address ranges used by Google APIs and services. The implied allow egress firewall rule satisfies this requirement. For other ways to meet the firewall requirement.

• Question 240:

  An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts.

  Which Google Cloud product or service did the organization use?

  A. App Engine
  B. Machine learning
  C. Cloud Logging
  D. Cloud Profiler
  B. Machine learning

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  The question describes an application that can diagnose medical conditions based on images submitted by users. This is a task typically handled by machine learning (ML) models, specifically those focused on image recognition and classification. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: For more information on Machine Learning with Google Cloud, refer to the Google Cloud documentation on AutoML Vision and Vertex AI. Understanding the basic principles and applications of Google Cloud's ML services is crucial for the Google Cloud Digital Leader exam, which emphasizes knowing how different services solve business challenges.