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Cloud-Digital-Leader questions


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Google Exam Cloud-Digital-Leader Questions Answers Test Simulator

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Cloud-Digital-Leader Exam Topics

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:

  • Regions
  • Zones
  • 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)

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