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100% Pass Useful Cloud-Digital-Leader - Test Google Cloud Digital Leader Dumps Free

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Google Cloud Digital Leader Certification is one of the most popular cloud computing certifications in the IT industry. It tests the ability of individuals to lead and advise on Digital Transformation initiatives using Google Cloud technologies. Google Cloud Digital Leader Certification is sought-after by IT professionals and organizations because it provides a comprehensive and practical understanding of the Google Cloud platform, cloud computing, and digital transformation.

Google Cloud Digital Leader Sample Questions (Q261-Q266):

NEW QUESTION # 261
What according to you are NOT the key capabilities of In-App Messaging?

A. Creating customized and flexible alerts
B. Sending relevant messages to the target audience
C. Increasing conversion for user-to-user sharing
D. Target messages accordingly to the change in the behavior pattern of the target audience.

Answer: C

Explanation:
In-App Messaging
Engage active app users with contextual messages.
Firebase In-App Messaging helps you engage users who are actively using your app by sending them targeted and contextual messages that nudge them to complete key in-app actions - like beating a game level, buying an item, or subscribing to content.

NEW QUESTION # 262
What is generative Al?

A. An umbrella term that includes all types of machine learning algorithms
B. An Al model for labeling images
C. A machine learning model for language translation
D. A specific field of Al that can be used to create content

Answer: D

Explanation:
The correct answer is A. A specific field of AI that can be used to create content. Here's why:
Context of the Questio n : The question is asking about generative AI, a specialized area within the broader field of artificial intelligence.
Google Cloud Product Relevance:
Generative AI refers to a branch of artificial intelligence that focuses on generating new content, such as text, images, audio, and other data. It uses machine learning models, such as generative adversarial networks (GANs) and transformer models (like GPT), to create new data that mimics the patterns of existing data.
This type of AI is used in various applications, including text generation, content creation, image synthesis, and more.
Why Not Other Options:
B . An umbrella term that includes all types of machine learning algorithms: This is incorrect because generative AI is a specific field within AI, not an umbrella term for all AI types.
C . An AI model for labeling images: Generative AI creates content, while labeling images falls under supervised learning.
D . A machine learning model for language translation: Language translation is a different AI application and does not specifically involve generating new content.
Google Cloud Digital Leader Reference:
Refer to the Google Cloud Generative AI documentation for more information on generative AI models and applications.

NEW QUESTION # 263
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?

A. Create a billing account per project, and link each project to a different billing account
B. Purchase a commitment per project for each project's usual minimum
C. Turn on committed use discount sharing, and create a commitment for the combined usage
D. Move all workloads from all different projects into one single consolidated project

Answer: C

Explanation:
Turn on committed use discount sharing, and create a commitment for the combined usage Sharing your committed use discounts across all your projects reduces the overhead of managing discounts on a per-project basis, and maximizes your savings by pooling all your discounts across your projects' resource usage. If you have multiple projects that share the same Cloud Billing account, you can enable committed use discount sharing so all of your projects within that Cloud Billing account share all of your committed use discount contracts. Your sustained use discounts are also pooled at the same time. That is, sustained use discounts are calculated using the total resources across these projects, rather than just the resources within a single project.

Reference link- https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts#sharing_committed_use_discounts_across_projects

NEW QUESTION # 264
Your client has an on-premises data center. Due to technical limitations, they are unable to scale globally.
They have decided to adopt the public cloud. However, they don't want to locked into any one vendor and, therefore, would like to work with multiple cloud providers. They have used open source container technologies and would like to continue using them.

A. Anthos that runs containers as their core workloads
B. Kubernetes that runs containers as their core workloads
C. AppEngine Flexible Environment which supports containers
D. Cloud Run which supports containers and can scale in a serverless fashion

Answer: A

Explanation:
Explanation
Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.

NEW QUESTION # 265
Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays. Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?

A. Retain the data in use in a single region bucket with standard storage.
B. Retain the data in use in a single region bucket with nearline storage. Retain the data in use in a dual-region bucket.
C. Retain the data in use in a multi-region bucket.
D. Retain the data in use in a dual-region bucket.

Answer: A

Explanation:
Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.

https://cloud.google.com/storage/docs/storage-classes

NEW QUESTION # 266
......

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