Google Cloud-Digital-Leader Exam Topics

Google Cloud-Digital-Leader Exam Overview :

Exam Name:	Cloud Digital Leader
Exam Code:	Cloud-Digital-Leader
Certifications:	Google Cloud Certified Certification
Actual Exam Duration:	90 minutes
Expected no. of Questions in Actual Exam:	50
Exam Registration Price:	$99
See Expected Questions:	Google Cloud-Digital-Leader Expected Questions in Actual Exam

Google Cloud-Digital-Leader Exam Objectives :

Section	Objectives
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)
Official Information	https://cloud.google.com/learn/certification/cloud-digital-leader

Updates in the Google Cloud-Digital-Leader Exam Topics:

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