The Most Up-to-date Guide To Cloud-Digital-Leader Preparation Labs

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Online Cloud-Digital-Leader free questions and answers of New Version:

NEW QUESTION 1

A company with its own private data center has called you in for help with their disaster recovery planning. News of multiple ransomware attacks has made them very anxious. They want to make they are well prepared for such an eventuality. Which of these would be good recommendations?

  • A. It is better to have redundancy; so, set up another private data center nearby so that you can quickly go over in case of an emergency.
  • B. It is better to have redundancy; use one or many of the Google Cloud datacenters as a backup location.
  • C. The one data center is enough, as long as the data is encrypted; attackers won't be able to read the data.
  • D. The one data center is enough as long as you regularly back up data and save it in another place in the same DC.

Answer: B

Explanation:

A single data center is vulnerable. So any option involving that is not good. Reference Link:- https://www.coresite.com/blog/data-center-redundancy

NEW QUESTION 2

Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?

  • A. Host all your subsidiaries' services on-premises together with your existing services.
  • B. Host all your subsidiaries' services together with your existing services on the public cloud.
  • C. Build a homogenous infrastructure at each subsidiary, and invest in training their engineers.
  • D. Build a homogenous infrastructure at each subsidiary, and invest in hiring more engineers.

Answer: B

Explanation:
Host all your subsidiaries' services together with your existing services on the public cloud.

NEW QUESTION 3

A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?

  • A. Cloud SQL, BigQuery, Datastore
  • B. Spanner, Cloud SQL, BigQuery
  • C. Cloud SQL, Firestore, Datastore
  • D. Cloud SQL, Bigtable, BigQuery

Answer: B

Explanation:
Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL. Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up,
maintain, manage, and administer your relational databases on Google Cloud Platform. BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.

NEW QUESTION 4

A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year. Going in for a committed use contract seems sensible. How can you configure committed use easily across all the projects?

  • A. Enable committed use with discount sharing for the projects
  • B. Review the usage of resources by each project on a daily basi
  • C. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
  • D. Take a report of each project's use in the last yea
  • E. Enable committed use on a per- project basis based on the previous year's numbers.
  • F. Share a Google Sheet and request each project team to send in their estimat
  • G. Enable committed use accordingly on a per-project basis.

Answer: A

Explanation:

Enable committed use discounts are applied to the project from which you purchased it. To share the discount across multiple projects linked to your Cloud Billing account, enable committed use discount sharing from the console. When you enable committed use discount sharing, all of your current active committed use dis-counts in all the projects under the same Cloud Billing account, including those you previously purchased and new ones you purchase in the future are shared across your Cloud Billing account. Your sustained use discounts are also pooled and shared across all projects within your Cloud Billing account.

NEW QUESTION 5

Which of the following statements describe the features of a preemptible VM in-stance? (Select Three Answer)

  • A. Instance is alive for no more than 12 hours
  • B. Can be pre-empted with a 30 minute notice
  • C. Can be pre-empted with a 30 second notice
  • D. Discounted Significantly
  • E. Instance is alive for no more than 24 hours
  • F. Can use free tier credits

Answer: CDE

Explanation:
Instance is alive for no more than 24 hours, Can be pre-empted with a 30 second notice, Discounted Significantly.
Preemptible VM is an instance that you can create and run at a lower cost than normal instances.
However, Compute Engine might stop (pre-empt) these instances if it requires access to those resources for other tasks. Preemptible instances are excess Compute Engine capacity, so their availability varies with usage.
Live at most 24 hours Can be pre-empted with a 30 second notification via API and are Discounted significantly
Reference link- https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION 6

Your organization is defining the resource hierarchy for its new application in Google Cloud. You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions. Which structure should your organization choose?

  • A. Create a single project for all environment
  • B. Use labels to segregate resources by environment.
  • C. Create a single project for all environment
  • D. Use tags to segregate resources by environment.
  • E. Create one project for the development environment and one project for the production environment.
  • F. Create two projects for the development environment and two projects for the production environment (one for each region).

Answer: C

Explanation:
Many organizations have separate development and production environments so they can build and test new features without disturbing production traffic. In Optimizely, you can create separate projects for each environment to help with governance.
With separate development and production projects, your organization can safely build and QA experiments and Personalization campaigns in a development environment before deploying to production. This approach allows multiple stakeholders in your organization to act as gatekeepers for running new experiments in production.
Cloud-Digital-Leader dumps exhibit
Reference link- https://support.optimizely.com/hc/en-us/articles/4410284353805-Set-up-projects-for-development-and-production-environments

NEW QUESTION 7

Your organization stores highly sensitive data on-premises that cannot be sent over the public internet. The data must be processed both on-premises and in the cloud.
What should your organization do?

  • A. Configure Identity-Aware Proxy (IAP) in your Google Cloud VPC network
  • B. Create a Cloud VPN tunnel between Google Cloud and your data center
  • C. Order a Partner Interconnect connection with your network provider
  • D. Enable Private Google Access in your Google Cloud VPC network

Answer: C

Explanation:
After the service provider provisions your connection, you can start passing traffic between your networks by using the service provider's network.
Reference: https://cloud.google.com/network-connectivity/docs/interconnect/concepts/partner-overview

NEW QUESTION 8

An organization wants to build an entirely new infrastructure and applications in the cloud. Which application modernization approach should the organization use?

  • A. Move the application to the cloud, and then change it.
  • B. Change their application, and then move it to the cloud.
  • C. Invent in greenfield.
  • D. Invent in brownfield.

Answer: C

Explanation:
A Greenfield approach is a brand-new implementation , where companies then add their needed configurations and customizations. This approach provides a clean slate to start from, does not carry over needless customizations and technical debt, and provides a solid foundation for business process re-engineering.
A greenfield deployment is the design, installation and configuration of computer infrastructure where none existed before, for example, in a new office. In contrast, a brownfield deployment is an upgrade or addition to existing infrastructure using legacy components.

NEW QUESTION 9

All Google Cloud Platform services are associated with a project that is used to provide what functions?

  • A. Manage Container Deployments
  • B. Enable Services and APIs
  • C. Manage DNS Services
  • D. None of the Above

Answer: B

Explanation:
The recommended approach is to have folders corresponding to teams/departments and they manage the projects within that.
-> Sharing a single project will cause a conflict of resources, billing, concerns, etc.
-> One folder per project is unnecessary overuse of abstraction/grouping.
-> Teams and projects in a company should ideally be centrally managed in a single Organization.

NEW QUESTION 10

An organization needs to search an application's source code to identify a potential issue. The application is distributed across multiple containers.
Which Google Cloud product should the organization use?

  • A. Google Cloud Console
  • B. Cloud Trace
  • C. Cloud Monitoring
  • D. Cloud Logging

Answer: B

Explanation:
Cloud Trace is supposed to be the correct answer. It's an application performance management tool. It's a Google solution for monitoring application performance. It is a distributed tracing system that helps developers debug or fix and optimize their code

NEW QUESTION 11

What conditions be true if a VM interface wants to send packets to the external IP addresses of Google APIs and services using Private Google Access?

  • A. VM interface does not have an external IP address assigned.
  • B. VM interface is connected to a subnet where Private Google Access is disabled
  • C. Both A and B
  • D. None of the Above.

Answer: A

Explanation:
A VM interface can send packets to the external IP addresses of Google APIs and services using Private Google Access if all these conditions are met:
- The VM interface is connected to a subnet where Private Google Access is enabled.
- The VPC network that contains the subnet meets the network requirements for Google APIs and services.
- The VM interface does not have an external IP address assigned.
- The source IP address of packets sent from the VM matches the VM interface's primary internal IP address or an internal IP address from an alias IP range.
A VM with an external IP address assigned to its network interface doesn't need Private Google Access to connect to Google APIs and services. However, the VPC network must meet the requirements for accessing Google APIs and services.

NEW QUESTION 12

A large travel services company has been running all their workloads on Google Cloud in the previous year. They looked at their past usage of cloud resources and see that there is a consistent use of 10,000 virtual machines throughout the year. Based on the projections for the following year they have a strong indication that they will use at least this much or more capacity within Google Cloud. What is one way in which they can take advantage of this knowledge?

  • A. They can use these numbers to negotiate a better contract with another public cloud number.
  • B. They can cut costs by cutting down on the number of VMs used.
  • C. They can get into a committed use contract with Google Cloud to get a significant discount on the usage of VMs.
  • D. They can ask for a sustained use discount.

Answer: C

Explanation:
Compute Engine lets you purchase committed use contracts in return for deeply discounted prices for VM usage. These discounts are referred to as committed use discounts. Committed use discounts are ideal for workloads with predictable resource needs. When you purchase a committed use contract, you purchase Compute Engine resources—such as vCPUs, memory, GPUs, local SSDs, and sole-tenant nodes—at a discounted price in return for committing to paying for those resources for 1 year or 3 years. The discount is up to 57% for most resources like machine types or GPUs. The discount is up to 70% for memory-optimized machine types.

NEW QUESTION 13

Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?

  • A. The model is under fitte
  • B. Train with less data.
  • C. The model is over fitte
  • D. Add more features to the model to fix it.
  • E. The model is fine since the test results are goo
  • F. Fix the production of incoming data.
  • G. The model is overfitte
  • H. Train with more data.

Answer: D

Explanation:
If our ML model does well on the training set than on the production set, then we're likely over fitting. Training with more data would be one solution.

NEW QUESTION 14

An organization is moving away from an on-premises infrastructure. Instead, they want to create, access, and share information virtually in the cloud.
What should the organization consider?

  • A. Built-in security when moving their data to the cloud
  • B. Replacing their perimeter security with data encryption keys
  • C. Optimizing cost-management with a capital expenditure model
  • D. Increased hardware capacity when moving their data to the cloud

Answer: A

NEW QUESTION 15

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

Answer: B

NEW QUESTION 16
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