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

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 41:

  You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.

  You are working in a company where you need to store Terabytes of Image Data daily and process them e.g. Taking photos of the entire planet 24 hours every day with satellite and sending data to data centres to store and process it. Which of the following would be the best combination for your infrastructure.

  A. Bare Metal Solutions with Google Cloud Storage.
  B. Google Cloud Storage and Google Cloud Compute Engines
  C. Google Cloud Storage and Preemptible VMs.
  D. None of the Above
  C. Google Cloud Storage and Preemptible VMs.

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  The above is a real world example of a company named Planet, where they sent around 80+ satellites to take pictures of earth every day, 24 hours. They run around 40,000 preemptible VMs concurrently. 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. Reference link-https://cloud.google.com/compute/docs/instances/preemptible

• Question 42:

  What are the key features of Google Cloud Identity.

  A. Multi-factor authentication (MFA)
  B. Single sign-on (SSO)
  C. Works with your favorite apps and Endpoint management
  D. All of the Above
  D. All of the Above

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  Cloud Identity: A unified identity, access, app, and endpoint management (IAM/EMM) platform. -Give users easy access to apps with single sign-on. -Multi-factor authentication protects user and company data. -Endpoint management enforces policies for personal and corporate devices KEY FEATURES : Modernize IT and strengthen security Multi-factor authentication (MFA) Help protect your user accounts and company data with a wide variety of MFA verification methods such as push notifications, Google Authenticator, phishing-resistant Titan Security Keys, and using your Android or iOS device as a security key. Endpoint management Improve your company's device security posture on Android, iOS, and Windows devices using a unified console. Set up devices in minutes and keep your company data more secure with endpoint management. Enforce security policies, wipe company data, deploy apps, view reports, and export details. Single sign-on (SSO) Enable employees to work from virtually anywhere, on any device, with single sign-on to thousands of pre-integrated apps, both in the cloud and on-premises. Works with your favorite apps Cloud Identity integrates with hundreds of cloud applications out of the box--and we're constantly adding more to the list so you can count on us to be your single identity platform today and in the future.

• Question 43:

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

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

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  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 https://cloud.google.com/compute/docs/instances/preemptible

• Question 44:

  An organization needs a platform to create custom end-to-end artificial intelligence models. Which Google Cloud product or service should the organization use?

  A. Dataproc
  B. Compute Engine
  C. Recommendations AI
  D. Vertex AI
  D. Vertex AI

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  Explanation Explanation/Reference:Recommendations AI enables you to build an end-to-end personalized recommendation system based on state-of-the-art deep learning ML models, without a need for expertise in ML or recommendation systems. With Vertex AI, both AutoML training and custom training are available options. Whichever option you choose for training, you can save models, deploy models, and request predictions with Vertex AI. https://cloud.google.com/vertex-ai

• Question 45:

  When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model. Which of these statements define a classification model?

  A. A type of machine learning model for distinguishing among two or more discrete values.
  B. g. "book", "car".
  C. A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.
  D. A type of machine learning model that outputs continuous (typically, floating-point) values.
  E. g. the predicted price of the house is $120,000.
  F. A type of classic model approach that is less used today and which has been re-placed by the regression model.
  A. A type of machine learning model for distinguishing among two or more discrete values.

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  A classification model classifies the incoming data into one or more discrete classes.

• Question 46:

  Which of these are defined by the following statement: a contract you have with your end custom-ers, which, if you don't meet, you might even have to pay fines?

  A. SLA-Service Level Agreement
  B. SLC-Service Level Contract
  C. SLO-Service Level Objective
  D. SLI-Service Level Indicator
  A. SLA-Service Level Agreement

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  Explanation Explanation/Reference:https://cloud.google.com/blog/products/devops-sre/sre-fundamentals-slis-slas-and-slos

• Question 47:

  What is a defining feature of a non-relational database?

  A. Repotting across multiple data sources
  B. Queries that join multiple tables
  C. A strictly enforced schema
  D. A flexible data model
  D. A flexible data model

• Question 48:

  Which Google Cloud product is designed to reduce the risks of handling personally identifiable information (PII)?

  A. Cloud Storage
  B. Google Cloud Armor
  C. Cloud Data Loss Prevention
  D. Secret Manager
  C. Cloud Data Loss Prevention

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  https://cloud.google.com/blog/products/gcp/take-charge-of-your-sensitive-data-with-the-cloud-dlp-api Cloud Data Loss Prevention: Fully managed service designed to help you discover, classify, and protect your most sensitive data.

• Question 49:

  A global organization is developing an application to manage payments and online bank accounts in multiple regions. Each transaction must be handled consistently in their database, and they anticipate almost unlimited growth in the amount of data stored.

  Which Google Cloud product should the organization choose?

  A. Cloud SQL
  B. Cloud Spanner
  C. Cloud Storage
  D. BigQuery
  B. Cloud Spanner

• Question 50:

  An organization is deciding on the layout of their resource hierarchy in Google Cloud. They have several projects within a folder. What will happen when user access policies are applied to the folder?

  A. The policy will be inherited by the projects in the folder but will not affect their resources.
  B. The policy will be inherited by the projects and their resources within the folder.
  C. The policy will be applied to all folders within the organization.
  D. The policy applies to the folder only, and will not be inherited by any projects.
  B. The policy will be inherited by the projects and their resources within the folder.

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  The organization is deciding on the layout of their resource hierarchy in Google Cloud and wants to understand the impact of applying user access policies at the folder level. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: Refer to Google Cloud IAM documentation to understand how IAM policies are inherited in a resource hierarchy.