Course details
Welcome and good day this practice test is for any one want to prove himself in Google Cloud Digital LeaderTest
What is the Google Cloud Digital Leader ?
Cloud Digital Leader
Certification exam guide:
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: Introduction to digital transformation with Google Cloud (approximately 10% of the exam)
1.1 Explain why cloud technology is revolutionizing business
Define key terms such as cloud, cloud technology, data, and digital transformation
1.2 Explain why it is critical for businesses to adopt new technology
Compare and contrast cloud technology and traditional or on-premises technology
Describe how customer expectations have changed because of cloud technology
Identify the business and technical considerations that organizations need to think about when adopting cloud technology, including: infrastructure; application and business platform modernization; the importance of data; security in the cloud
Section 2: Innovating with data and Google Cloud (approximately 30% of the exam)
2.1 Describe the role of data in digital transformation and the importance of a data-driven culture
Explain how cloud technology enables data to be applied in new ways
2.2 Identify common Google Cloud solutions for data management
Recognize examples of structured and unstructured data
2.3. Identify common Google Cloud solutions for smart analytics
Articulate the business benefits of storing data in the cloud
Apply appropriate business use cases for databases, data warehouses, and data lakes
Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage
2.4. Identify Google Clouds solutions for machine learning and AI
Define artificial intelligence (AI) and machine learning (ML)
Outline the importance of data quality in ML prediction accuracy
Describe Google Clouds differentiators with regard to AI and machine learning
Recognize the ways customers can use Google Clouds AI and ML solutions to create business value
Section 3: Infrastructure and application modernization (approximately 30% of the exam)
3.1 Learn what modernizing IT infrastructure with Google Cloud means
Explain why legacy infrastructure struggles to deliver modern services to customers
Explain the benefits of modernizing infrastructure with cloud technology
Differentiate between hybrid and multicloud infrastructures
Differentiate between virtual machines, containers, and serverless computing within business use cases
Identify the Google Cloud solutions that help businesses modernize their infrastructure
3.2 Understand modernizing applications with Google Cloud
Describe the business drivers for modernizing applications
Describe the benefits of using cloud-native applications
Apply the appropriate change pattern to different business use cases
Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development
3.3 Understand the value of APIs
Explain how application programming interfaces (APIs) can modernize legacy systems
Describe how APIs can create new business value
Explain the benefits of Apigee
Section 4: Understanding Google Cloud security and operations (approximately 30% of the exam)
4.1 Describe financial governance in the cloud and Google Cloud's recommended best practices for effective cloud cost management
Explain how adopting cloud technology affects the total cost of ownership (TCO)
Identify the cost management strategy needed in a given business scenario
4.2 Describe a cloud security approach and Google Cloud security benefits
Define fundamental cloud security terms, including privacy, availability, security, and control
Explain what is meant by a shared responsibility model
Describe the security benefits of using Google Cloud
Identify today's top cybersecurity challenges and threats to data privacy
Demonstrate how organizations can control and manage access to cloud resources
4.3 Explain how IT operations need to adapt to thrive in the cloud
Differentiate service availability requirements in the cloud versus in on-premises environments
Describe the operational challenges that DevOps solves
Apply the goals of site reliability engineering (SRE) to different business use cases
4.4 Identify Google Cloud solutions for cloud resource monitoring and application performance management
Explain the potential impact of unexpected or prolonged downtime
Define monitoring, logging, and observability within the context of cloud operations
Identify the Google Cloud resource monitoring and maintenance tools.
This exam format:
Length: 90 min
Language: English
Number of questions: 50 multiple choice and multiple select questions
Passing scor: 70%
Updated on 02 May, 2023- Data Protection Course LineUSD 24
USD 460Duration: Upto 4 Hours - Cyber Security Awareness John AcademyUSD 25Duration: 1 Hour