Cloud-Digital-Leader Practice Test Questions to Help You Prepare with Confidence
Getting ready for an Google Google Cloud Digital Leader exam certification exam can feel confusing at first. There’s a lot to cover, limited time, and plenty of pressure to do well. That’s where our practice test questions for Cloud-Digital-Leader come in.
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Google Cloud-Digital-Leader Sample Questions – Free Practice Test & Real Exam Prep
Question #1
Which Google Cloud service or feature lets you build machine learning models using
Standard SQL and data in a data warehouse?
What are the key features of Google Cloud Identity.
A. Multi-factor authentication (MFA)
B. Single sign-on (SSO)
C. Works with your favorite apps and Endpoint management
D. All of the Above
Answer: D Explanation: Cloud Identity:
A unified identity, access, app, and endpoint management (IAM/EMM) platform.
- Give users easy access to apps with single sign-on.
- Multi-factor authentication protects user and company data.
- Endpoint management enforces policies for personal and corporate devices
KEY FEATURES :
Modernize IT and strengthen security
Multi-factor authentication (MFA)
Help protect your user accounts and company data with a wide variety of MFA verification
methods such as push notifications, Google Authenticator, phishing-resistant Titan Security
Keys, and using your Android or iOS device as a security key.
Endpoint management
Improve your company’s device security posture on Android, iOS, and Windows devices
using a unified console. Set up devices in minutes and keep your company data more
secure with endpoint management. Enforce security policies, wipe company data, deploy
apps, view reports, and export details.
Single sign-on (SSO)
Enable employees to work from virtually anywhere, on any device, with single sign-on to
thousands of pre-integrated apps, both in the cloud and on-premises.
Works with your favorite apps
Cloud Identity integrates with hundreds of cloud applications out of the box—and we’re
constantly adding more to the list so you can count on us to be your single identity platform
today and in the future.
Question #3
Your organization needs to process large amounts of data from an online application that
operates continuously. You do not want to be required to provision infrastructure or create
server clusters. What should your organization choose?
A. Compute Engine with BigQuery
B. Dataproc
C. Google Kubernetes Engine with Cloud Bigtable
D. Dataflow
Answer: D Explanation: You do not want to be required to provision infrastructure or create server clusters. Because Unified stream and batch data processing that's serverless, fast, and cost-effective. Reference link- https://cloud.google.com/dataflow
Question #4
The Border Security Agency has hired your software services firm to build an application
for them that will collect information about visas stamped on passports. You are given
stamped images. You have to find out which country issued the visa and the period of
validity. Pull out this data and put it into a database. Which of these applications would be
suitable for that?
A. Use Cloud Vision API - write code to identify the text blocks, copy the data, and store it
B. Use TensorFlow - write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it.
C. Use AutoML - upload other images of visas and run the model creation process which will automatically identify the visas
D. Use Data Labeling service - outsource the work of marking and extracting the in-formation to others.
Answer: A Explanation: Cloud Vision API allows you to programmatically identify images, text, etc. in the document. This would be the best option. https://cloud.google.com/vision
Question #5
The customer has applications that do data processing on-premise. They have been built
using Ha-doop and Spark. What product should I use on Google Cloud?
A. Dataproc
B. Dataflow
C. Dataprep
D. Dataplex
Answer: A Explanation: Because Dataproc is used to run Hadoop/Spark workloads
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