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

Google CLOUD-DIGITAL-LEADER Online Questions & Answers

• Question 421:

  Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements-some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?

  A. Containerize the services and orchestrate them with Google Kubernetes Engine.
  B. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.
  C. Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.
  D. Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.
  A. Containerize the services and orchestrate them with Google Kubernetes Engine.

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  Containers and Kubernetes are ideal for the kind of requirement mentioned here-separate microservices that need to scale independently. Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster. Reference link-https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engine-overview

• Question 422:

  In Google's cloud security model, how does availability contribute to a robust security posture for data?

  A. By checking that data is accurate and trustworthy
  B. By ensuring data is reliable and accessible
  C. By ensuring data meets industry standards
  D. By restricting data access to authorized users
  B. By ensuring data is reliable and accessible

• Question 423:

  An information security organization must ensure that its service providers have ISO 27001 certification. They must also access supporting documentation. Which Google Cloud tool should they use?

  A. Compliance Reports Manager
  B. Security Command Center
  C. Network Intelligence Center
  D. Cloud Monitoring
  A. Compliance Reports Manager

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  The organization needs to ensure that its service providers have ISO 27001 certification and access supporting documentation. ISO 27001 is an international standard for information security management systems (ISMS), and organizations often need to verify compliance through certified reports. Google Cloud Product Relevance: Why Not Other Options: Google Cloud Digital Leader References: Refer to Compliance Reports Manager in the Google Cloud documentation for details on accessing compliance and security documentation, including certifications like ISO 27001.

• Question 424:

  An organization wants to move from a tactical cloud adoption approach to a transformational approach. How should they adapt the way they lead the organization?

  A. Increase top-down visibility and foster a culture of blamelessness
  B. Shift from an operational expenditure model to capital expenditure
  C. Drive cloud adoption with an individual contributor focus
  D. Invest in on-premises infrastructure to redesign relationships between IT and employees
  A. Increase top-down visibility and foster a culture of blamelessness

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  Explanation Explanation/Reference:To move from a tactical cloud adoption approach to a transformational approach, an organization needs to change the way it leads the organization. This includes increasing top-down visibility and fostering a culture of blamelessness. Top-down visibility means that leaders need to communicate the organization's cloud strategy and goals clearly and often. They need to explain why the organization is moving to the cloud and the benefits that it will bring.

• Question 425:

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

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  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_versus_offline_transfer

• Question 426:

  Which of the following statements is / are correct about Machine Learning?

  A. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
  B. Machine learning automates the job of building statistical models with Human In-tervention.
  C. Robotic process automation (RPA) can not be attached with ML.
  D. None of the Above.
  A. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.

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  Customer service Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.

• Question 427:

  Within Google's Site Reliability Engineering framework, which concept measures how well a system is performing?

  A. Service-level objective
  B. Service-level agreement
  C. Service-level indicator
  D. Error reporting
  C. Service-level indicator

• Question 428:

  Which of the following methods should you use when you require a dynamic way of provisioning VMs on Compute Engine when it is observed that the exact specifications will be in a dedicated configuration file and you want to follow Google's recommended practices.

  A. Managed Instance Group
  B. Deployment Manager
  C. Cloud Composer
  D. Unmanaged Instance Group
  B. Deployment Manager

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  The question is about a dynamic way to provision VM, it can be achieved by a Deployment manager or by using terraform. MIG is creating multiple machines based on templates by load balancing

• Question 429:

  What is an organization responsible for when migrating from on-premises to the cloud?

  A. Covering the cost of cloud service downtime
  B. Managing underlying network infrastructure
  C. Adapting to a pay-as-you-go cloud expenditure model
  D. Optimizing cloud storage systems
  C. Adapting to a pay-as-you-go cloud expenditure model

• Question 430:

  An organization is altering their gaming product so that it is compatible with cloud technology. What can they expect when moving from traditional technology to cloud technology?

  A. No change to existing responsibilities
  B. A shift toward OpEx
  C. A shift toward using structured data
  D. Increased hardware maintenance
  B. A shift toward OpEx