Google Cloud Digital Leader

Last updated 11/2024

Google Cloud Digital Leader.

1-year course access
Detailed solution explanations + reference links
Questions as per the latest syllabus laid by the official certification team
Active instructors to resolve your queries within 48 Hrs. Just drop a mail at hi@examapp.io

GCP CDL Google Cloud Digital Leader Practice Exam & Test Questions | Google Cloud Platform Certification Course | Official Latest Exams Syllabus Practice Tests | Exam Guide | Detailed Solution Explanations + Reference Links

Keywords: google cloud digital leader, cloud digital leader, cloud digital leader certification, google cloud digital leader certification, google cloud digital leader practice exam, google cloud leader certification, google cloud certified cloud digital leader, cloud digital leader practice exam, google cloud digital leader exam, gcp cloud digital leader

Curriculum

2 Sections
276 Lessons
0m Duration

Expand All

EXAM TIPS

1 Lesson

README

QUESTIONS, ANSWERS, & SOLUTIONS

275 Lessons

You have identified that the software builds, tests, and regular deployments for your app are done manually, but you want to reduce work for the team.
Your company makes smart lights that can be deployed all around that world, that collect and send a large amount of data to its servers.
As a Cloud security engineer at your organization, which tool should you use to look for compliance reports on your engineer Google Cloud Organization to cover multiple projects?
Your company is migrating an application from another Cloud Provider to Google Cloud.
You are head of Cloud Migration strategy for a small bank.
You are building a mobile app for calculating material cost estimations for the construction industry.
You are running an auto-scaling application on Compute engine VMs.
You are expecting a large inflow of traffic in the next two weeks on your website due to an upcoming sale.
You are working at an enterprise that is building a new application on Google Cloud.
You are working at a logistics company which has multiple applications running on VMs in a co-located datacenter.
You are the head of security at your organization and you want to identify if any virtual machines in your company have a security vulnerability.
One of your applications running on Compute Engine needs to access a database running on-premises.
Your logistics company is migrating a legacy application running on-premises to Google Cloud.
Your company has a crypto wallet management application.
Your company has created an Identity platform on Google Cloud that is being used by a large number of organizations.
You are building a user-activity prediction system for your app with help from some members of the database team.
You applied for the position of cloud architect and your interviewer asked you this question:
You have built a prototype of a project management software, that you are going to containerize and deploy on Google Cloud.
Your health-based e-commerce organization is migrating to Google Cloud.
You are building a social media app that is expected to have organic growth in terms of user base.
Your company is building a mobile app and website for your consumer facing app.
You are running a distributed photo-sharing platform on compute engine VMs.
You want to experiment with building a machine learning model for your social media app but your team has less familiarity with machine learning but more familiarity with Standard SQL.
Your leadership wants to see a report of common security risks and compliance violations in your Google Cloud Environment.
You are running an image processing app on Google Cloud Platform Compute Engine.
Your organization wants to start using Google Cloud.
Your global company has independent subsidiaries in three different countries.
You are working for a financial institution that has sensitive data on-premises that cannot be sent over public internet.
You are designing a social media platform that will be deployed on Cloud Run.
You are part of the technical architecture team at a newly setup bank.
You are working at an inter-design studio where you need to provide the designers with a Cloud-based rendering service to render their designs.
Your company has various projects on Google Cloud, all linked to the same billing account.
You want to run your E-commerce site on multiple clouds.
You are working at a manufacturing company that relies on Active Directory to manage its users.
You are working at a large E-Commerce company that is migrating their workloads to Google Cloud.
You are the head of Cloud practices at your company and you need to plan the company’s Cloud Infrastructure expenditures.
Your legacy systems are being migrated to Google Cloud as part of the organization’s modernization strategy.
You are building a microservice for a social media app that needs to integrate with services such as Pub/Sub, Firebase, and Cloud APIs to notify users whenever a new event occurs.
You work as a senior cloud strategist at a stock trading brokerage firm.
You are building a social media app that needs to securely store and access files such as images and videos.
You are working as a Cloud Architect at a financial institution and you need to prevent the VMs created in your environments from having internet access.
Your company uses LDAP to control users’ access.
You are running an accounting server on Windows servers.
Your organization wants to get rid of their on-premises infrastructure by quickly migrating all their workloads to Google Cloud.
Your finance team has provided you with a budget that your Google Cloud environment must not exceed.
You have sensitive financial information stored in a Cloud Storage bucket.
You are working at a large enterprise that has several departments using Google Cloud independently.
You are working as a finance officer at your company and you accidentally purchased a 1-year Committed Use Discount when you wanted to purchase for 3 years instead.
Your company wants to analyze user activity on your app.
You are building a recommendation engine app based on data in BigQuery.
You are working at a data science research organization and you want to make some datasets available for other researchers within the professional community.
You are working for an international retailer that has servers running mission-critical workloads on its on-premises data centers around the world.
You are creating a presentation for your company’s leadership showcasing the different Cloud Storage options.
Different teams within your organizations make use of Google Cloud for their applications.
Your leadership has asked you to explain how do Migrate for Compute Engine and Migrate for Anthos differ from each other.
Your organization is building a photo sharing app that needs to categorize images using machine learning.
Your work at a large enterprise with thousands of users.
Your company has recently migrated an app to Google Cloud.
Multiple teams in your company leverage Google Cloud for various applications.
Your finance team has asked you to keep Cloud costs in check to make sure you don’t make any unnecessary expenses.
You are working as an intern at a social media company and you are tasked to identify unstructured data from all the data your company has collected from their app.
Your company sends a lot of traffic from their Google Cloud network to the internet.
You are running a small business which only generates traffic during a particular season.
You are designing an app for a large bank to manage payments and online bank accounts in multiple regions.
Your organization has data centers all over the world where they run mission-critical workloads.
You are working at a stealth startup that pushes new updates to their app almost every week.
Your company has several APIs related to weather forecasting.
Your e-commerce company is modernizing their applications after migrating to Google Cloud.
You are working for a startup that has a successful website that can be used to manage projects of all types.
You are working for an automobile manufacturing company that is trying to digitize all of their historical contracts and invoices in the form of image files.
Your E-commerce business is attracting attention globally and you are planning to scale the business internationally.
You are working at a news agency that wants to recommend news articles to the user based on the recent articles they have read.
You need to pick a technology that can help your teams run multiple computer operating systems on a single piece of physical hardware.
Your company has decided to extend their helpline availability hours to also include weekends.
Your company is considering migrating their on-premises applications to cloud.
Your company has a website and also physical stores where they sell shoes.
You are tasked with debugging an application running in production for a certain issue.
You are appointed to modernize the technology department of a large Hotel chain.
Your company has applications running on physical servers in an on-premises data center.
You are working for a blogging platform where writers from different industries post articles.
You are working in a large E-commerce company that wants to analyze customer reviews on their website and categorize them using a pre-trained machine learning model.
You are collecting user activity data for your app.
You have recently released an update for your online game.
Your company wants to analyze its website’s performance by leveraging BigQuery.
You made a presentation for your leadership to explain the benefits of Cloud technology.
Your application development team is trying to upskill themselves by learning data science.
Your company is planning to use Cloud SQL to create business insights.
In an attempt to automate the answering of common customer support queries, your company has launched an AI chatbot for customer support.
You are working at a stealth startup building digital solutions.
Your company wants to modernize its technology approach by using the DevOps philosophy.
You are working as a data engineer at a steel manufacturing company.
You are building an app that has an unconventional design.
You received an email with a link saying that your bank account password has expired.
Your data science team is building products using machine learning.
You are considering migrating your company’s data to Google Cloud but you need to make sure that your data is secure and private in Google Cloud.
You have multiple applications running in Google Cloud.
You are leading a project at your organization and you want to review Google Cloud data access among your employees.
Your company has on-premises hardware that they are trying to replace with Google Cloud.
You are working at a credit card company that allows users to gain reward points by shopping at a range of selected stores.
You are starting a new project in your company that will be deployed on Google Cloud.
You are working at a retail company that has invested in on-premises infrastructure for their website.
Your social media app is being used by thousands of users every minute and the user activity generates a large amount of data that needs to be processed continuously.
You are the lead Cloud Architect at your company and you notice that your company’s development and operations teams use different systems.
Your company has partners that resell your products.
Your company has various structured and semi-structured data that they have collected from various sources.
Why should you use out-of-the-box APIs to make artificial intelligence and machine learning products instead of building models from scratch?
You are working at a legacy company that has a complex architecture with proprietary licenses.
You are working as a data engineer at a startup.
Your company makes kiosks that can be used by users to exchange currency.
Your company needs a solution that can help them track the inventory in a chain of partner stores in real-time so that you can automatically order goods on their behalf to keep the shelves stocked.
You are building a multiplayer game.
You are working at a stealth startup that is trying to solve business problems using artificial intelligence and machine learning.
You are head of engineering at an E-commerce company that is looking to optimize its services.
Your company uses Google Cloud to host all of its applications.
You are building a social media app.
Your company is building an intelligent object detection system that will be built by training a machine-learning model to categorize photographs.
You are working at a large corporation that has hundreds of servers running on on-premises data centers.
Your company builds software that can help detect cardiovascular diseases in patients.
In the yearly agenda meeting of your company, they mentioned that they are moving from a tactical cloud adoption approach to a transformational approach.
Your SRE team has set Service Level Objectives (SLO) of 99.999% (`five nines`) for one of your apps.
Your company wants to introduce a new system to allow employees access to the cafeteria by scanning their faces.
Your company consistently uses Google Cloud resources.
Your company has migrated all of its infrastructure to Google Cloud.
You are working as an on-call support engineer for one of the critical applications in your company.
You have built a video-sharing app.
Your company is doing research in the field of weather prediction to detect extreme weather events in the country by using machine learning.
Your cab-sharing company plans to use custom VMs for building a fully controlled home-grown application.
You are building a proof of concept for a photo processing app that needs to categorize a large group of photographs using pre-trained machine learning.
To meet the demands of the day, your company needs to upskill its IT staff.
Your company is building an app that requires the involvement of several departments in the development process.
Your finance team has raised a concern that some of your cloud expenditures are too high for a particular app.
You have created a presentation describing the features of Google Cloud.
Your boss has asked you to explore Looker and share how it can be useful for your organization.
You are working at a logistics company that has a legacy application running on-premises.
You are the CEO at a company that uses legacy on-premises hardware to run your company’s website.
Your security team has asked you to create a detailed report about data security on Google Cloud to decide whether your company should migrate to Google Cloud.
Your development team is struggling to release updates to your app because of the limitations of their on-premises infrastructure.
Your company collects user activity data in multiple ways in the form of datasets.
In what manner does Cloud technologies guarantee service availability?
You are building a B2B app that will need a relational database.
Instead of just moving their applications directly to Google Cloud, your organization wants to build new applications which are cloud-native from the start.
Your company has started adopting Cloud technologies.
You are the security head of your organization.
You are leading an application development team.
Your company is going through a modernization by moving to the Cloud.
Your online game is struggling to serve its users during peak hours.
How can Artificial Intelligence help your business?
Your company has migrated their apps to Google Cloud and now they are modernizing their apps by using managed services.
Your security team wants to know if company’s data is secure on Cloud.
Some employees in your organization have to do mundane work like performing a small number of steps in the same manner every day.
You are working at an automobile company that plans to digitize all of their documents by scanning them and then run analysis on the files to gain insights.
You are working at a stealth startup that plans to disrupt the market by introducing the next generation of AI tools.
You are working in the data science team at a large retail company.
You are working as a software engineer for a chain of hospitals.
In the yearly agenda meeting of your company, they mentioned that they are moving from a tactical cloud adoption approach to a transformational approach.
Your Cloud Provider failed to meet their SLA.
Your company has invested heavily in modernizing their apps using application programming interfaces(APIs) .
Your company has a large amount of historical data in the form of files that they want to store in a cost effective manner.
Your company wants to automate answering common customer service queries using automated personalized dialog with their customers.
You are running an e-commerce website on on-premises legacy infrastructure.
You are building a startup and you don’t have the budget to hire dedicated infrastructure management team.
You are working in the data science team at your company where your team is trying to train a custom machine learning model to categorize customer responses from your app's contact form.
You are conducting a cyber security drive at your company.
Your company already has a website for one of the consumer-facing apps that they have built.
Your company recently upgraded their security system and shortly after that, they suffered a major data leak.
Your company has started to develop cloud-native applications to replace their legacy applications.
Your online game has gained a significant user base and your on-premises hardware is struggling to serve all users at peak time.
Your company is building an app that can diagnose cardiovascular diseases by taking photos of people’s eyes.
Your team is struggling to understand the behavior of their code in production.
You are working at a financial services company as a Software Engineer.
Your company is exploring ways to quickly build products that use machine learning.
You are building a mobile app that allows restaurants to display their menu with prices.
Your team is close to breaching its service level objective (SLO) but remains above the service level agreement (SLA).
You are the CTO at a startup.
You are building a fitness app that records exercise times, activity, and calories burned.
Your company uses several SaaS products.
You need to create a business intelligence dashboard to present to the leaders of your company.
Your boss has asked you to explore out-of-the-box observability features of Google Cloud.
You are building a distributed app on the cloud that requires a serverless execution environment.
Your startup is struggling to meet customer demands that are changing rapidly every day.
Your company wants to go multi-cloud and run their applications across multiple cloud providers.
Your company is looking for a solution to process data from their legacy system in a modem platform hosted by a business partner without having to modernize their infrastructure.
You are working at a manufacturing company that they want to analyze using a data warehouse.
You have proposed to migrate your company’s on-premise data center to Cloud.
Your startup is getting a lot of requests from your customers to be incorporated into your app.
You want to migrate your on-premises data to the Cloud in order to serve users from all over the world with low latency and high availability.
Your company is trying to slowly adopt cloud technologies.
You are working at a finance company.
You are working at a retail company that has an Ecommerce website.
You are working at a large enterprise where they cannot migrate their on-premises applications to Cloud overnight.
Your company has a commissions-based business model and it has become difficult for you to predict cloud costs as the revenue keeps fluctuating.
You are the lead SRE at a startup.
You are the Lead Cloud Strategist at your company and you are tasked with transforming your cloud maturity from a strategic level to a transformative one.
You are working at a game development company and you notice that your company has allocated a large budget for building features that generate insights from user behaviors.
You are working at a retail chain that has recently migrated all of its applications to the Cloud through a lift-and-shift approach.
You are working as a data engineering intern at an E-commerce startup.
As a startup, you need your application to adjust itself based on the various needs of the users.
Your logistics company is growing rapidly and you are looking to invest in the analysis and reporting of your data through a data warehouse.
Your company wants to experiment with building ML services for one of your projects but they want to rely on plug-and-play components to reduce developer efforts.
Your grocery chain has an on-premises data center where they host their apps and store all of the data.
You work at a sporting goods company that has a website where their customers can order goods.
Your company uses virtual machines to host their E-commerce website.
You have joined a legacy retail company that has apps running on inflexible, on-premises hardware.
You are the lead architect at an e-commerce company.
Your chain of grocery stores is introducing self-service kiosks.
You are working at a logistics company, where you have recently modernized your shipment tracking process to be real-time using APIs.
You have successfully migrated your applications to Cloud but now you are struggling to keep the bills under control.
Your company is planning to integrate some third-party systems into your Cloud infrastructure.
You are the security manager at a financial institution.
Your company is adopting a DevOps approach in building its software.
You are launching a new feature for your social media app.
You are building a recommendation engine using Apache Spark and Presto.
You have created a monolithic web application that runs in a single container.
You want to allow offline examination and debugging of messages to ensure no-delay processing of other Pub/Sub messages.
You are building an app to allow users to pay their credit card bills.
Your online drawing tool requires block storage which is reliable and high-performance.
You are the CTO of a retail company and you have started a new initiative using Migrate for Anthos and GKE to modernize your applications.
Your organization is rapidly adopting Google Cloud and you need a way to finely maintain and manage cost allocation using organizations in Google Cloud.
Your blogging website uses private instances.
Your organization wants to perform a proof of concept for a new app using a serverless computing platform.
You are the CEO of a startup.
You are running multiple social media applications on GKE, virtual machines, and other Google Cloud services.
You have recently joined a new company as a Devops Engineer and you noticed that your team does not have a way to centrally monitor the infrastructure and uptime of your application.
You are proposing to migrate one of your complex banking applications to Google Kubernetes Engine.
As a lead cloud engineer, you are tasked to migrate your on-premises data center to Google Cloud.
You have built a solution to store backup files of your critical trading applications on Cloud Storage.
You have an online shopping application that uses an SQL server running in your on-premises data center.
You have 1 TB of unstructured data in the form of text files.
You want to use a serverless data processing pipeline for your next project but you need to present the benefits of it to your leadership.
What kind of benefits do you stand to gain by migrating your company’s infrastructure to Cloud?
For your new payment gateway application, you are planning to use a NoSQL database.
Your company has infrastructure provisioned in multiple cloud providers and your apps are also deployed in multiple clouds.
You work at an Ecommerce company.
Your team is exploring Vertex AI.
You proposed migrating your on-premises environment to the Cloud to save costs, but your management is worried about vendor lock-in.
Your company has a new policy of improving the company’s carbon footprint by being more environmentally friendly.
You are building a critical app that will be used by thousands of users at the same time.
You are the lead architect of an E-commerce project on GCP.
You are explaining the use cases for a non-relational database to your team.
You recently implemented SRE principles in your team.
You are building a data warehouse.
You are leading a team developing an application set for containerization and deployment on the Cloud.
Your logistics company is building a data lake in Google Cloud.
Who now holds the responsibility for safeguarding the physical infrastructure of the data centers after your company moved their workloads to Google Cloud?
You have an application running on your on-premises servers that you want to migrate to Google Cloud as soon as possible.
You have 10 TB of data in your on-premises data center that you need to transfer to Google Cloud.
Your security team is conducting an audit of Google Cloud systems and they want to know what kind of protection Google Cloud provides in case someone physically accesses your systems with malicious intent.
Which service model should you adopt if you wish to transition your custom servers from your on-premises setup to the cloud, paying for their usage on a pay-as-you-go basis rather than making a one-time hardware purchase?
You are learning the concepts of machine learning.
You are working on a solution that requires building a custom machine-learning model.
At a marketing company receiving data from diverse sources, roughly totaling 1 PB in size, they aim to leverage this data for strategic analysis and informing business decisions.
Your security team is reviewing Google Cloud’s security model.
Which stage of the data value chain is represented by the task of transforming 10 TB of raw data to conduct analysis and generate value for the company?
Your legal and compliance team requires you to perform a third-party audit of your processes to ensure data sovereignty.
As the founder of a startup seeking a tailored AI solution to enhance efficiency and offer personalized interactions for your customer care team, which Google Cloud AI solution would be most appropriate?
Your team is building a custom machine learning model.
You have built a social media application on the Google Cloud platform.
You work at a media company.
You have recently read Google’s SRE workbook and you plan to implement key SRE principles in your workflows.
The production environment of your Cryptocurrency trading website is going through an external security audit.
Now that you have migrated to the cloud, your spending has shifted to the OpEx model.
In a cloud internship interview, you’re asked the following question.
You are part of the security team at your company.
You have explored various products on Google Cloud and you are especially interested in using serverless services in Google Cloud.
You have proposed a plan for your company to migrate its on-premises infrastructure to the Google Cloud platform.
Which service model is represented when you intend to access a software application from a cloud vendor without the necessity to manage your servers or write any code?
Your security team is studying Google Cloud and they have sent you a questionnaire containing questions that you need to answer so that they can allow you to use Google Cloud.
You are building an app that will be used by the employees of your company.
You are working at a large crypto enterprise.
You are the chief technology officer at a large enterprise where multiple teams in your company have applications running on separate kubernetes clusters in different cloud environments.
You have multiple applications running in Google Cloud.
You have proposed to your organization to use a unified cloud data solution.
Your company has several years' worth of data that you have stored in a database.
Your company wants to beat its competitors in developing machine-learning models.
You recently led the migration of several on-prem databases to Google Cloud.

Google Cloud Digital Leader

Curriculum

EXAM TIPS

QUESTIONS, ANSWERS, & SOLUTIONS

Free Lesson Videos:

Deleting Course Review

Course Access