Google Cloud Digital Leader exam guide has been updated from January 26, 2022

The Cloud Digital Leader exam is job-role agnostic and does not require hands-on experience with Google Cloud.


The Cloud Digital Leader exam  assesses the knowledge and skills of individuals who want or are required to understand the purpose and application of Google Cloud products.

The exam assesses your knowledge in three areas, including general cloud knowledge, which will be 15-25 per cent of the exam, general Google Cloud knowledge which will be 25-35 per cent of the exam and Google Cloud products and services, which will be 45-55 per cent of the exam.


Sign up for your weekly dose of what's up in emerging technology.

The Google Cloud Digital Leader exam guide will be updated from January 26, 2022. Candidates scheduled to take the exam through January 25, 2022, should review the current exam guide. Candidates scheduled to take the exam on or after January 26, 2022, should review the new exam guide as mentioned below.

What to expect?

Introduction to Digital Transformation with Google Cloud: The candidates will explain why cloud technology is revolutionising business and define key terms such as cloud, cloud technology, data, and digital transformation. Also, explain why businesses must adopt new technology where the candidate will have to compare and contrast cloud technology and traditional or on-premises technology. The candidates will have to describe how cloud technology has changed customer expectations. Identify the business and technical considerations that organisations need to consider when adopting cloud technology, including infrastructure; application and business platform modernisation; the importance of data; security in the cloud.

Innovating with Data and Google Cloud: The candidates will have to 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. The candidates will have to identify common Google Cloud solutions for data management and recognise structured and unstructured data examples. The candidates have to identify common Google Cloud solutions for smart analytics wherein they will have to articulate the business benefits of storing data in the cloud, apply appropriate business use cases for databases, data warehouses, and data lakes and explain the benefits of Google Cloud data products, including Looker, BigQuery, Cloud Spanner, Cloud SQL, and Cloud Storage.

Infrastructure and Application Modernisation with Google Cloud: Candidates will have to learn what modernising IT infrastructure with Google Cloud means, where the candidate will have to explain why legacy infrastructure struggles to deliver modern services to customers. In addition, the candidates will have to explain the benefits of modernising infrastructure with cloud technology, differentiate between hybrid and multi-cloud infrastructures, differentiate between virtual machines, containers, and serverless computing within business use cases and identify the Google Cloud solutions that help businesses modernise their infrastructure.

Understanding modernising applications with Google Cloud, the candidates will have to describe the business drivers for modernising applications, describe the benefits of using cloud-native applications and apply the appropriate change pattern to different business use cases and explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development.

Understanding Google Cloud Security and Operations: The candidates will have to describe financial governance in the cloud and Google Cloud’s recommended best practices for effective cloud cost management. They will also have to explain how adopting cloud technology affects the total cost of ownership (TCO) and identify the cost management strategy needed in a given business scenario.

Further, the candidates will have to describe a cloud security approach and Google Cloud security benefits. They will have to define fundamental cloud security terms, including privacy, availability, security, and control and explain what is meant by a “shared responsibility model.” They will be required to describe the security benefits of using Google Cloud, identify today’s top cybersecurity challenges and threats to data privacy, and finally, demonstrate how organisations can control and manage access to cloud resources.

Also read about Data Engineer –

More Great AIM Stories

Poornima Nataraj
Poornima Nataraj has worked in the mainstream media as a journalist for 12 years, she is always eager to learn anything new and evolving. Witnessing a revolution in the world of Analytics, she thinks she is in the right place at the right time.

Our Upcoming Events

Conference, in-person (Bangalore)
MachineCon 2022
24th Jun

Conference, Virtual
Deep Learning DevCon 2022
30th Jul

Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM
Amit Raja Naik
Oh boy, is JP Morgan wrong?

The global brokerage firm has downgraded Tata Consultancy Services, HCL Technology, Wipro, and L&T Technology to ‘underweight’ from ‘neutral’ and slashed its target price by 15-21 per cent.