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

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 431:

  A manager wants to review Google Cloud data access among their employees. Who is responsible for defining data access policies?

  A. Cloud Identity
  B. Google Cloud Customer Care team
  C. Their organization's IT team
  D. Their organization's end users
  C. Their organization's IT team

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  Explanation Explanation/Reference:Cloud Identity and Access Management (IAM) helps customers to define fine-grained access policies and precisely control access to Google Cloud-hosted data.

• Question 432:

  A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?

  A. Use a serverless option like Cloud Functions that will automatically scale as much as required.
  B. Instead of using a "general purpose" machine family, use "compute-optimized" machine family.
  C. Since processing could also be dependent on reading and writing data to the disk, use a fast Local SSD.
  D. Attach GPUs to the virtual machine for number crunching.
  D. Attach GPUs to the virtual machine for number crunching.

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  Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing. https://cloud.google.com/compute/docs/gpus

• Question 433:

  Which Google Cloud product can report on and maintain compliance on your entire Google Cloud organization to cover multiple projects?

  A. Cloud Logging
  B. Identity and Access Management
  C. Google Cloud Armor
  D. Security Command Center
  D. Security Command Center

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  Security Command Center is a centralized security and risk management platform for your Google Cloud resources. It is a single tool that offers a variety of security features including: 1. Gain centralized visibility and control 2. Discover misconfigurations and vulnerabilities 3. Report on and maintain compliance 4. Detect threats targeting your Google Cloud assets https://cloud.google.com/security-command-center

• Question 434:

  An organization wants to refactor their application by using a microservices architecture when migrating to the cloud. Which benefit would this action provide?

  A. The refactored application is more efficient and scalable.
  B. No code changes will be required.
  C. This migration pattern provides the fastest path to the cloud.
  D. The application will become PCI-DSS compliant by default.
  A. The refactored application is more efficient and scalable.

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  The refactored application is more efficient and scalable. Here's why: The organization wants to refactor its application into a microservices architecture when migrating to the cloud. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: For more information on microservices and cloud-native architectures, refer to the Google Cloud Microservices documentation.

• Question 435:

  A customer has a tens of applications that are dependent on Oracle databases in their on-premise data centers. The customer wants to migrate to Google Cloud. Their long term goal is to move to other cloud native database technologies. What options do they have to initially move their data?

  A. Migrate to a Bare Metal server.
  B. Migrate to Cloud SQL.
  C. Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.
  D. Containerize Oracle and run it using Cloud Run.
  B. Migrate to Cloud SQL.

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  The Bare Metal solution is the recommended approach. You can deploy Oracle capabilities like clustered databases, replication, and all performance features at licensing costs that are similar to on-premise systems https://cloud.google.com/architecture/migrating-bare-metal-workloads

• Question 436:

  An organization wants to use multiple marketing datasets to forecast user acquisition. How should they use cloud technology to gain new insights from the data?

  A. Import the datasets into a custom data warehouse, and then archive old data
  B. Import and selectively archive the datasets in a custom data lake
  C. Separate the datasets and make predictions using machine learning
  D. Combine the datasets and make predictions using machine learning
  D. Combine the datasets and make predictions using machine learning

• Question 437:

  The government has ordered an audit of your company's data. You have hired an external company to conduct the audit. They need to be able to review the data stored in your Cloud Storage buckets across eight projects. How would you grant them access?

  A. Give the auditors an Owner role on the eight buckets so that they have proper access.
  B. Give them Storage Object Viewer access to the buckets in those eight projects.
  C. They might need access to all projects as the audit progresses; so give them access to all Storage buckets so that you don't have to do it repeatedly later on.
  D. They might need access to all projects as the audit progresses; so give them the Editor role on all Storage buckets so that you don't have to do it repeatedly later on.
  B. Give them Storage Object Viewer access to the buckets in those eight projects.

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  Explanation Explanation/Reference:Apply the Principle of Least Privilege and only provide read permissions on only the required buckets. No more, no less https://cloud.google.com/storage/docs/access-control/iam-roles

• Question 438:

  What is a benefit of Google's purpose-built servers compared to standard servers?

  A. They are optimized for specific tasks making them more efficient.
  B. They are backward compatible with legacy disk drives.
  C. They are cheaper to build than standard servers.
  D. They run software that cannot be deployed on standard servers.
  A. They are optimized for specific tasks making them more efficient.

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  Google's purpose-built servers are specifically designed and optimized for Google's workloads, making them more efficient than standard off-the-shelf servers. These servers are tailored for specific tasks, such as handling large-scale data processing or machine learning workloads, providing better performance and energy efficiency. They are optimized for specific tasks making them more efficient is correct because it describes the primary benefit of Google's custom server hardware. References: Google Cloud Data Center Innovation: Purpose-built Servers Google Cloud Infrastructure: Hardware and Software Optimization

• Question 439:

  How is privacy defined in the context of cloud technology?

  A. Restrictions on data access and sharing
  B. Procedures to authenticate user identity
  C. Susceptibility to data breaches and cyber attacks
  D. Compliance with regulatory standards
  A. Restrictions on data access and sharing

• Question 440:

  What does the shift toward cloud computing represent for an organization's transformation?

  A. An opportunity that is only relevant to the IT department
  B. An opportunity to continue business as usual with new cost savings
  C. An opportunity to redefine existing business processes and services
  D. An opportunity that is limited to large enterprises
  C. An opportunity to redefine existing business processes and services