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Cloud Digital Leader
A Cloud Digital Leader can distinguish and evaluate the various capabilities of Google Cloud core products and services and how they can be used to achieve desired business goals. A Cloud Digital Leader is well-versed in basic cloud concepts and can demonstrate a broad application of cloud computing knowledge in a variety of applications.

The Cloud Digital Leader exam is job-role independent. The exam assesses the knowledge and skills of individuals who want or are required to understand the purpose and application of Google Cloud products.

The Cloud Digital Leader exam assesses your knowledge in three areas:
General cloud knowledge (approximately 15-25% of the exam)
General Google Cloud knowledge (approximately 25-35% of the exam)
Google Cloud products and services (approximately 45-55% of the exam)

About this certification exam
Length: 90 minutes
Registration fee: $99
Language: English, Japanese
Exam format: Multiple choice and multiple select

Exam Delivery Method:
a. Take the online-proctored exam from a remote location, review the online testing requirements.
b. Take the onsite-proctored exam at a testing center, locate a test center near you.

Prerequisites: None
Recommended experience: Experience collaborating with technical professionals

Exam overview

Step 1. Understand what’s on the exam

The exam contains multiple choice and multiple-select questions, including real-world technical scenarios to assess your ability to identify the appropriate cloud solutions and Google Cloud products.

The exam guide contains a list of topics that may be assessed on the exam. Review the exam guide to determine if your knowledge aligns with the topics on the exam.

Step 2. Expand your knowledge with training

Cloud Digital Leader
A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. The Cloud Digital Leader can also describe common business use cases and how cloud solutions support an enterprise. The Cloud Digital Leader exam is job-role agnostic and does not require hands-on experience with Google Cloud.
Section 1. General cloud knowledge

1.1 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

1.2 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
Define the trade-offs between costs versus responsibility
Appropriate implementation and alignment with given budget and resources

1.3 Identify common cloud procurement financial concepts. Considerations include:
Operating expenses (OpEx), capital expenditures (CapEx), and total cost of operations (TCO)
Recognize the relationship between OpEx and CapEx related to networking and compute infrastructure
Summarize the key cost differentiators between cloud and on-premises environments

Section 2. General Google Cloud knowledge
2.1 Recognize how Google Cloud meets common compliance requirements. Considerations include:
    Locating current Google Cloud compliance requirements
    Familiarity with Compliance Reports Manager

2.2 Recognize the main elements of Google Cloud resource hierarchy. Considerations include:
    Describe the relationship between organization, folders, projects, and resources

2.3 Describe controlling and optimizing Google Cloud costs. Considerations include:
    Google Cloud billing models and applicability to different service classes
    Define a consumption-based use model
    Application of discounts (e.g., flat-rate, committed-use discounts [CUD], sustained-use discounts [SUD])

2.4 Describe Google Cloud’s geographical segmentation strategy. Considerations include:
    Regional resources
    Zonal resources
    Multiregional resources

2.5 Define Google Cloud support options. Considerations include:
    Distinguish between billing support, technical support, role-based support, and enterprise support
    Recognize a variety of Service Level Agreement (SLA) applications

Section 3. Google Cloud products and services

3.1 Describe the benefits of Google Cloud virtual machine (VM)-based compute options. Considerations include:
    Compute Engine, Google Cloud VMware Engine, and Bare Metal
    Custom versus standard sizing
    Free, premium, and custom service options
    Attached storage/disk options
    Preemptible VMs

3.2 Identify and evaluate container-based compute options. Considerations include:
    Define the function of a container registry
    Distinguish between VMs, containers, and Google Kubernetes Engine

3.3 Identify and evaluate serverless compute options. Considerations include:
    Define the function and use of App Engine, Cloud Functions, and Cloud Run
    Define rationale for versioning with serverless compute options
    Cost and performance tradeoffs of scale to zero

3.4 Identify and evaluate multiple data management offerings. Considerations include:
    Describe the differences and benefits of Google Cloud’s relational and non-relational database offerings (e.g., Cloud SQL, Cloud Spanner, Cloud Bigtable, BigQuery)
    Describe Google Cloud’s database offerings and how they compare to commercial offerings

3.5 Distinguish between ML/AI offerings. Considerations include:
    Describe the differences and benefits of Google Cloud’s hardware accelerators (e.g., Vision API, AI Platform, TPUs)
    Identify when to train your own model, use a Google Cloud pre-trained model, or build on an existing model

3.6 Differentiate between data movement and data pipelines. Considerations include:
    Describe Google Cloud’s data pipeline offerings (e.g., Pub/Sub, Dataflow, Cloud Data Fusion, BigQuery, Looker)
    Define data ingestion options

3.7 Apply use cases to a high-level Google Cloud architecture. Considerations include:
    Define Google Cloud’s offerings around the Software Development Life Cycle (SDLC)
    Describe Google Cloud’s platform visibility and alerting offerings

3.8 Describe solutions for migrating workloads to Google Cloud. Considerations include:
    Identify data migration options
    Differentiate when to use Migrate for Compute Engine versus Migrate for Anthos
    Distinguish between lift and shift versus application modernization

3.9 Describe networking to on-premises locations. Considerations include:
    Define Software-Defined WAN (SD-WAN)
    Determine the best connectivity option based on networking and security requirements
    Private Google Access

3.10 Define identity and access features. Considerations include:
    Cloud Identity, Google Cloud Directory Sync, and Identity Access Management (IAM)

You are migrating workloads to the cloud. The goal of the migration is to serve customers worldwide as quickly
as possible According to local regulations, certain data is required to be stored in a specific geographic area,
and it can be served worldwide. You need to design the architecture and deployment for your workloads.
What should you do?

A. Select a public cloud provider that is only active in the required geographic area
B. Select a private cloud provider that globally replicates data storage for fast data access
C. Select a public cloud provider that guarantees data location in the required geographic area
D. Select a private cloud provider that is only active in the required geographic area

Answer: D

Your organization needs a large amount of extra computing power within the next two weeks.
After those two weeks, the need for the additional resources will end.
Which is the most cost-effective approach?

A. Use a committed use discount to reserve a very powerful virtual machine
B. Purchase one very powerful physical computer
C. Start a very powerful virtual machine without using a committed use discount
D. Purchase multiple physical computers and scale workload across them

Answer: C

Your organization needs to plan its cloud infrastructure expenditures.
Which should your organization do?

A. Review cloud resource costs frequently, because costs change often based on use
B. Review cloud resource costs annually as part of planning your organization’s overall budget
C. If your organization uses only cloud resources, infrastructure costs are no longer part of your overall budget
D. Involve fewer people in cloud resource planning than your organization did for on-premises resource planning

Answer: B

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