Available Number of Questions: Maximum of
414 Questions
Exam Name: Cloud Digital Leader
Exam Duration: 90 Minutes
Related Certification(s):
Google Cloud Certified Certification
Google Cloud Digital Leader Exam Topics - You’ll Be Tested in Actual Exam
The Google Cloud Digital Leader exam is a comprehensive assessment designed to evaluate your expertise in leading digital transformations powered by Google Cloud technologies. Covering a wide range of topics, the exam assesses your ability to strategically leverage Google Cloud's tools and services to drive business growth and innovation. From understanding the fundamentals of Google Cloud Platform (GCP) and its core services to implementing machine learning and artificial intelligence solutions, the exam demands a deep knowledge of cloud computing concepts. Additionally, it tests your proficiency in designing and developing cloud-native applications, ensuring secure and reliable cloud infrastructure, and effectively managing and optimizing cloud resources. Furthermore, the exam evaluates your skills in data analytics and machine learning, including the ability to analyze and interpret data using BigQuery and implement machine learning models with TensorFlow. Lastly, it assesses your understanding of Google's collaboration and productivity tools, such as G Suite, and their integration with cloud services. Overall, the Google Cloud Digital Leader exam is a rigorous test of your leadership, technical, and strategic skills in driving digital transformation with Google Cloud technologies.
Google Cloud Digital Leader Exam Short Quiz
Attempt this Google Cloud Digital Leader exam quiz to self-assess your preparation for the actual Google Cloud Digital Leader exam. CertBoosters also provides premium Google Cloud Digital Leader exam questions to pass the Google Cloud Digital Leader exam in the shortest possible time. Be sure to try our free practice exam software for the Google Cloud Digital Leader exam.
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Google Cloud Digital Leader Exam Quiz
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GoogleCloud Digital Leader
Q1:
An organization wants to analyze data in a data warehouse. How should they proceed?
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AChoose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting.
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BCopy unstructured data into a single large object store.
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CEnsure data is stored in structured tables and rows to support transactional queries and relationships.
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DImport data into a semi-structured time-series database.
GoogleCloud Digital Leader
Q2:
An organization wants to ensure that they grant users only the permissions they require to perform their job responsibilities. Which security principle describes this approach?
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ASecurity by default
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BLeast privilege
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CZero-trust
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DCyber resilience
GoogleCloud Digital Leader
Q3:
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?
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AUse custom training in Vertex Al with TensorFlow.
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BUse BigQuery ML and create models using SQL.
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CBuild a model in AutoML using labeled data.
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DIntegrate pre-trained APIs into their application.
GoogleCloud Digital Leader
Q4:
When is data automatically encrypted in Google Cloud?
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AWhen it is at rest only.
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BWhen it is at rest and in transit.
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CWhen it is in transit only.
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DData is not automatically encrypted by default.
GoogleCloud Digital Leader
Q5:
An organization is deploying applications to the cloud using platform as a service.
In the shared responsibility model, what remains the responsibility of the customer organization?
