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Cloud-Digital-Leader Exam Format | Cloud-Digital-Leader Course Contents | Cloud-Digital-Leader Course Outline | Cloud-Digital-Leader Exam Syllabus | Cloud-Digital-Leader Exam Objectives

Cloud-Digital-Leader Exam Information and Guideline

Google Cloud Digital Leader



Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.





Exam Specification: Cloud-Digital-Leader Google Cloud Digital Leader

Exam Name: Cloud-Digital-Leader Google Cloud Digital Leader
Exam Code: Cloud-Digital-Leader
Exam Duration: 90 minutes
Passing Score: 70%
Exam Format: Multiple-choice and scenario-based questions
Exam Delivery: Online proctored exam

Course Outline:

1. Introduction to Google Cloud
- Overview of Google Cloud and its services
- Understanding the benefits of using Google Cloud for digital transformation
- Exploring the key concepts and terminology of Google Cloud

2. Cloud Adoption Framework
- Understanding the Google Cloud Adoption Framework
- Identifying business drivers and use cases for adopting Google Cloud
- Developing a cloud strategy and roadmap

3. Cloud Economics and Cost Management
- Evaluating the economic considerations of using Google Cloud
- Cost management strategies and best practices
- Optimizing resource usage and minimizing costs

4. Security and Compliance
- Understanding the security features and controls in Google Cloud
- Implementing security best practices for data protection
- Ensuring compliance with industry regulations and standards

5. Data Analytics and AI
- Leveraging Google Cloud's data analytics and AI capabilities
- Using BigQuery for data warehousing and analysis
- Exploring machine learning and AI services on Google Cloud

6. Application Modernization and DevOps
- Modernizing applications using Google Cloud's tools and services
- Implementing CI/CD pipelines and DevOps practices
- Containerization and deployment using Kubernetes

Exam Objectives:

1. Understand the key concepts and benefits of Google Cloud for digital transformation.
2. Apply the Google Cloud Adoption Framework to develop a cloud strategy and roadmap.
3. Evaluate the economic considerations and cost management strategies in Google Cloud.
4. Implement security measures and ensure compliance in Google Cloud.
5. Utilize data analytics and AI services for insights and decision-making.
6. Modernize applications and implement DevOps practices using Google Cloud.

Exam Syllabus:

Section 1: Introduction to Google Cloud (15%)
- Overview of Google Cloud and its services
- Benefits of using Google Cloud for digital transformation
- Key concepts and terminology of Google Cloud

Section 2: Cloud Adoption Framework (20%)
- Google Cloud Adoption Framework overview
- Identifying business drivers and use cases for Google Cloud adoption
- Developing a cloud strategy and roadmap

Section 3: Cloud Economics and Cost Management (15%)
- Economic considerations of using Google Cloud
- Cost management strategies and best practices
- Resource usage optimization and cost minimization techniques

Section 4: Security and Compliance (20%)
- Security features and controls in Google Cloud
- Implementing data protection and security best practices
- Compliance with industry regulations and standards

Section 5: Data Analytics and AI (15%)
- Leveraging Google Cloud's data analytics and AI capabilities
- Data warehousing and analysis using BigQuery
- Machine learning and AI services on Google Cloud

Section 6: Application Modernization and DevOps (15%)
- Application modernization using Google Cloud tools and services
- CI/CD pipelines and DevOps practices in Google Cloud
- Containerization and deployment using Kubernetes

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