2025 Google Cloud-Digital-Leader Latest Exam Score

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To prepare for the Google Cloud Digital Leader Certification Exam, candidates can take advantage of the various resources provided by Google Cloud. These resources include online training courses, practice exams, and study guides. The training courses cover everything from the basics of cloud computing to advanced topics such as data analytics and machine learning. Additionally, the practice exams are designed to help candidates get a feel for the exam format and the types of questions that they may encounter during the actual exam.

By earning the Google Cloud Digital Leader Certification, professionals can demonstrate their expertise and proficiency in managing and implementing cloud solutions. Google Cloud Digital Leader certification also helps professionals to enhance their career prospects and can help them with better job opportunities. The Google Cloud Digital Leader Certification is a professional credential that can be used by individuals to demonstrate their industry-recognized knowledge and oral and written communication skills in the implementation and management of cloud computing solutions.

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Quiz 2025 Google Cloud-Digital-Leader: Google Cloud Digital Leader Marvelous Exam Score

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Google Cloud Digital Leader Sample Questions (Q99-Q104):

NEW QUESTION # 99
An organization wants to measure everything as part of its new DevOps philosophy. What should the organization measure?

A. The satisfaction and happiness of their employees.
B. The speed of their cloud adoption process.
C. The risk and reward of their investments.
D. The reliability and health of their systems.

Answer: D

Explanation:
Explanation
Graphical user interface, text, application, email Description automatically generated

https://newrelic.com/devops/measuring-devops#toc-devops-measurments-for-team-health

NEW QUESTION # 100
In terms of Dockers and Kubernetes, which of the following statements are correct?

A. Kubernetes can be used with or without Docker.
B. Difference between Docker and Kubernetes relates to the role each play in con-tainerizing and running your applications
C. Kubernetes uses Docker to deploy, manage, and scale containerized applications.
D. All of the above.

Answer: D

Explanation:
Explanation
Kubernetes vs. Docker
Often misunderstood as a choice between one or the other, Kubernetes and Docker are different yet complementary technologies for running containerized applications.
Docker lets you put everything you need to run your application into a box that can be stored and opened when and where it is required. Once you start boxing up your applications, you need a way to manage them; and that's what Kubernetes does.
Kubernetes is a Greek word meaning 'captain' in English. Like the captain is responsible for the safe journey of the ship in the seas, Kubernetes is responsible for carrying and delivering those boxes safely to locations where they can be used.
- Kubernetes can be used with or without Docker.
- Docker is not an alternative to Kubernetes, so it's less of a "Kubernetes vs. Docker" question. It's about using Kubernetes with Docker to containerize your applications and run them at scale.
- The difference between Docker and Kubernetes relates to the role each play in containerizing and running your applications.
- Docker is an open industry standard for packaging and distributing applications in containers.
- Kubernetes uses Docker to deploy, manage, and scale containerized applications.

NEW QUESTION # 101
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?

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

Answer: B

Explanation:
Explanation
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds Text Description automatically generated

NEW QUESTION # 102
The CFO is attending one of the preliminary meetings in the migration strategy meeting. She brings up the concern about costs. They have contracts with their vendors and the payments they will need to make when purchasing any kind of infrastructure. This gives them a clear view of numbers for resource budgeting and planning. Can she get the same kind of clarity on Google Cloud?

A. Yes. Do a trial run of typical workloads. See the billing amount and that becomes the base reference.
B. Yes, the Pricing Calculator can be used to estimate the cost of resources.
C. Yes, Google provides a typical cost of application workloads by region and indus-try. Use that as a reference.
D. Yes, the Cloud Native Computing Foundation publishes yearly numbers on the cost of running the cloud. Use that as a reference.

Answer: B

Explanation:
The pricing calculator can be used to give clear estimates of resource usage.
-> Running test loads is as closely indicative as using the pricing calculator.
-> There are no cloud cost references published, either by Google or CNCF. Even if some companies have published such info. It might not apply to you.
Reference link:- https://cloud.google.com/products/calculator

NEW QUESTION # 103
An organization is operating multiple workloads in containers and requires full control of how the workloads are configured. Which Google Cloud service should the organization use?

A. Compute Engine
B. Cloud Functions
C. Cloud Run
D. Kubernetes Engine

Answer: D

Explanation:
The correct answer is C. Kubernetes Engine. Here's why:
* Context of the Question: The organization needs to operate multiple workloads in containers with full control over how these workloads are configured.
* Google Cloud Product Relevance:
* Google Kubernetes Engine (GKE) is a fully managed service that allows organizations to run, deploy, and manage containerized applications using Kubernetes. GKE provides full control over workload configuration, including resource allocation, scaling, networking, and security policies.
* With GKE, the organization can use Kubernetes features such as custom resource definitions, namespaces, and pod configurations to achieve the desired level of control over their workloads.
* Why Not Other Options:
* A. Cloud Functions: Cloud Functions is a serverless compute service for running event-driven functions and does not provide control over containerized workloads.
* B. Compute Engine: Compute Engine provides virtual machines (VMs), which are not specific to containerized workloads. It requires more management compared to GKE.
* D. Cloud Run: Cloud Run is a managed service for running containers but abstracts much of the configuration details to simplify deployment. It does not offer as much control over workload configuration as GKE.
Google Cloud Digital Leader References:
* Refer to the Google Kubernetes Engine documentation for more details on managing containerized workloads.

NEW QUESTION # 104
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2025 Google Cloud-Digital-Leader Latest Exam Score

Quiz 2025 Google Cloud-Digital-Leader: Google Cloud Digital Leader Marvelous Exam Score

Google Cloud Digital Leader Sample Questions (Q99-Q104):

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