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Quiz 2025 Google Cloud-Digital-Leader: Reliable Google Cloud Digital Leader Exam Answers
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Google Cloud Digital Leader Certification Exam is administered by Google Cloud and is recognized globally by organizations seeking to hire individuals who possess in-depth knowledge and expertise in cloud computing. Cloud-Digital-Leader exam is intended to evaluate the candidate's understanding of Google Cloud's core services, including virtual machines, storage, networking, security, and management. Additionally, the exam also tests the candidate's proficiency in data analytics and machine learning, which are essential skills for any cloud computing professional.
Google Cloud Digital Leader certification exam is an excellent way to demonstrate your proficiency in cloud technologies and showcase your expertise to potential employers. Google Cloud Digital Leader certification exam covers a wide range of topics related to cloud computing, including cloud infrastructure, cloud computing models, cloud security, and cloud management. Cloud-Digital-Leader Exam is designed to help you understand the fundamentals of cloud computing and how to leverage cloud technologies to drive business growth.
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Google Cloud-Digital-Leader: Google Cloud Digital Leader exam covers a wide range of topics, including digital transformation strategy, cloud computing, data analytics, machine learning, and cybersecurity. Cloud-Digital-Leader Exam is designed to evaluate an individual's ability to leverage Google Cloud technologies to create value and drive innovation for their organization. It is a comprehensive exam that requires a deep understanding of Google Cloud technologies and their real-world applications.
Google Cloud Digital Leader Sample Questions (Q285-Q290):
NEW QUESTION # 285
Which Google Cloud product or feature makes specific recommendations based on security risks and compliance violations?
- A. Cloud Deployment Manager
- B. Security Command Center
- C. Google Cloud firewalls
- D. Google Cloud Armor
Answer: B
NEW QUESTION # 286
Your organization uses Active Directory to authenticate users. Users' Google account access must be removed when their Active Directory account is terminated.
How should your organization meet this requirement?
- A. Configure BeyondCorp and Identity-Aware Proxy in the Google domain
- B. Configure single sign-on in the Google domain
- C. Remove the Google account from all IAM policies
- D. Configure two-factor authentication in the Google domain
Answer: B
Explanation:
Explanation
Configure single sign-on in the Google domain
Single sign-on: Whenever a user needs to authenticate, Google Cloud delegates the authentication to Active Directory by using the Security Assertion Markup Language (SAML) protocol. This delegation ensures that only Active Directory manages user credentials and that any applicable policies or multi-factor authentication (MFA) mechanisms are being enforced. For a sign-on to succeed.
https://cloud.google.com/architecture/identity/federating-gcp-with-active-directory-introduction Reference Link- https://cloud.google.com/architecture/identity/single-sign-on
NEW QUESTION # 287
Your ed-tech start-up was originally launched in a small geography. Any user sign-ups, course progress, tests taken, etc. are captured on a self-managed MySQL database. Every user generates many such transactions.
Now you're taking the application globally and preparing for a much larger influx of users from all over the world. The existing MySQL server is unlikely to be able to scale. Which convenient option can be considered?
- A. Migrate to Cloud SQL
- B. Migrate to Cloud Spanner
- C. Migrate to BigQuery
- D. Migrate to Bigtable
Answer: B
Explanation:
Explanation
Cloud Spanner is a global scale SQL database that scales extremely well. That would be the best choice.
NEW QUESTION # 288
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?
- A. The model is fine since the test results are good. Fix the production of incoming data.
- B. The model is over fitted. Add more features to the model to fix it.
- C. The model is overfitted. Train with more data.
- D. The model is under fitted. Train with less data.
Answer: C
Explanation:
If our ML model does well on the training set than on the production set, then we're likely over fitting.
Training with more data would be one solution.
NEW QUESTION # 289
You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?
- A. Hire temporary workers who can quickly label the images.
- B. Tell the customer it is their duty to label the images.
- C. Request data labeling service from Google.
- D. Look for open-source labeled images that closely resemble the given images.
Answer: B
Explanation:
Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
Reference:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs
NEW QUESTION # 290
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