Google Cloud Digital Leader- Practice test 2021- New

Latest 100+ Test Questions for Google Cloud Digital Leader Exam 2021 | Cloud Digital Leader test | GCP Practice Test

Level: Beginner

Reviews: 1
   
No. of Exams: 3

Google Cloud Digital Leader- Practice test 2021- New
Beginner
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A Google Cloud Digital Leader practice test 2021 can articulate the capabilities of Google Cloud core products and services, These Cloud Digital Leader practice test 2021 are a combination of multiple modules of the entire course and have been designed as per the reviews and pattern of the original examination paper. This set of practice tests are highly constructive and covers the entire course pattern of the examination.

Post the practice test the applicants will have a sound knowledge of how to build, tune and monitor a high performance data system.

Cloud is an exponentially growing platform and we are ought to deliver practice tests that meet the time requirements.

Note:- Exam format: Multiple choice  taken remotely or in person at a test center.

2 Sets of Practice Exam - with 50 Questions each sets

Each practice questions very- very important for the exam and has the same format, style, time limit and passing score as the real Google Cloud Digital Leader Certification exam (60 min to answer 50 questions)

All questions are unique and important with Explanations for understanding the questions the, 100% scenario-based and conform to the latest Google Cloud Digital Leader exam blueprint.

Topic Covered:-

1. Define basic cloud technologies. Considerations include:

Differentiate between traditional infrastructure, public cloud, and private cloud
Define cloud infrastructure ownership
Shared Responsibility Model
Essential characteristics of cloud computing

2. Differentiate cloud service models. Considerations include

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)
Describe the trade offs between level of management versus flexibility when comparing cloud services

3.Recognize how Google Cloud meets common compliance requirements
Locating current Google Cloud compliance requirements
Familiarity with Compliance Reports Manager

4.Describe controlling and optimizing Google Cloud costs.

Google Cloud billing models and applicability to different service classes
Define a consumption-based use model


5. Define Google Cloud Support options
Distinguish between billing support, technical support, role-based support, and enterprise support

6. Describe the benefits of Google Cloud virtual machine (VM)-based compute options.

Google Compute Engine, Google Cloud virtual machine ware Engine, and Bare Metal
Custom versus standard sizing
Free, premium, and custom service options
Attached storage/disk options
Preemptible VMs

7. Differentiate between data movement and data pipelines.

Describe Google Cloud’s data pipeline offerings (e.g., Pub/Sub, Dataflow, Cloud Data Fusion, BigQuery, Looker)
Define data ingestion options


Define identity and access features.

Cloud Identity, Google Cloud Directory Sync, and Identity Access Management (IAM)

Topic Covered:-

Define basic cloud technologies. Considerations include:

Differentiate between traditional infrastructure, public cloud, and private cloud

Define cloud infrastructure ownership

Shared Responsibility Model

Essential characteristics of cloud computing

Differentiate cloud service models. Considerations include

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)

Describe the trade offs between level of management versus flexibility when comparing cloud services

Recognize how Google Cloud meets common compliance requirements

Locating current Google Cloud compliance requirements

Familiarity with Compliance Reports Manager

Describe controlling and optimizing Google Cloud costs.

Google Cloud billing models and applicability to different service classes

Define a consumption-based use model

Define Google Cloud Support options

Distinguish between billing support, technical support, role-based support, and enterprise support

Describe the benefits of Google Cloud virtual machine (VM)-based compute options.

Google Compute Engine, Google Cloud virtual machine ware Engine, and Bare Metal

Custom versus standard sizing

Free, premium, and custom service options

Attached storage/disk options

Preemptible VMs

Differentiate between data movement and data pipelines.

Describe Google Cloud’s data pipeline offerings (e.g., Pub/Sub, Dataflow, Cloud Data Fusion, BigQuery, Looker)

Define data ingestion options

Define identity and access features.

Cloud Identity, Google Cloud Directory Sync, and Identity Access Management (IAM)

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Abhishek Gupta

Abhishek is CEO at Skugal and Code For Startups , CTO at Etheralabs. He leads the development efforts for Skugal, Code For Startups, Etheralabs, and as a software development engineer with expertise in building products using emerging technologies, Abhishek is responsible for the ongoing advancement of All these three companies multiple Big Data and Machine Learning development projects. Abhishek likes rock climbing and also reads ancient books.

abhijeet kasurde
  (0.5)
I have wasted my money by purchasing this course, dont know why it is highly rated? There are no answers provided to the questions
17-May-2022 10:11:33 PM

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