best practice Tests for Google Cloud Digital Leader Certification 2022
About Google Cloud Digital Leader Practice Exam
The Google Cloud Digital Leader exam has been built for candidates with the knowledge and skills to distinguish and evaluate the various capabilities of Google Cloud core products and services to achieve desired organizational goals. As a Google Cloud Digital Leader, you should be well-versed in basic cloud concepts and the ability to demonstrate a broad application of cloud computing knowledge in various applications.
Skills Required
The Google Cloud Digital Leader exam is independent of the job role. The exam evaluates the skills of candidates who wish to develop proficiency and understand the purpose and application of Google Cloud products.
Course Outline
The Cloud Digital Leader exam assesses your knowledge in the following domain -
Domain 1 - Understand and Implement General cloud knowledge (15-25%)
1.1 Overview of basic cloud technologies. Considerations
Differentiate between traditional infrastructure, public cloud, and private cloud
Define cloud infrastructure ownership
Shared Responsibility Model
Essential characteristics of cloud computing
1.2 Different cloud service models
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 Learn and identify common cloud procurement financial concepts
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
Domain 2 - Overview of General Google Cloud knowledge (25-35%)
2.1 Learn and recognize how Google Cloud meets common compliance requirements
Locating current Google Cloud compliance requirements
Familiarity with Compliance Reports Manager
2.2 Learn and recognize the main elements of Google Cloud resource hierarchy
Describe the relationship between organization, folders, projects, and resources
2.3 Learn to 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 Learn to describe Google Cloud’s geographical segmentation strategy
Regions
Zones
Regional resources
Zonal resources
Multiregional resources
2.5 Learn and define Google Cloud support options
Distinguish between billing support, technical support, role-based support, and enterprise support
Recognize a variety of Service Level Agreement (SLA) applications
Domain 3 - Learn about Google Cloud products and services (45-55%)
3.1 Understand the benefits of Google Cloud virtual machine (VM)-based compute options
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 Learn to Identify and evaluate container-based compute options
Define the function of a container registry
Distinguish between VMs, containers, and Google Kubernetes Engine
3.3 Learn to identify and evaluate serverless compute options. Considerations
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 Learn to identify and evaluate multiple data management offerings
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
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 Learn to 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
3.7 Learn to apply use cases to a high-level Google Cloud architecture
Define Google Cloud’s offerings around the Software Development Life Cycle (SDLC)
Describe Google Cloud’s platform visibility and alerting offerings
3.8 Learn to describe solutions for migrating workloads to Google Cloud
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 Learn to describe networking to on-premises locations
Define Software-Defined WAN (SD-WAN)
Determine the best connectivity option based on networking and security requirements
Private Google Access
3.10 Learn to define identity and access features
Cloud Identity, Google Cloud Directory Sync, and Identity Access Management (IAM)
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