[2024] Use Valid Cloud-Digital-Leader Exam - Actual Exam Question & Answer
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Things to consider before taking the Google Cloud Digital Leader Exam
Before you decide to take the Google Cloud Digital Leader exam, there are a few things to consider. You can test out of the Google Cloud Certified Associate Exam, but that shouldn't be your plan A, anyone who's read through this guide should have no trouble passing it. Instead, think of it as a way to demonstrate your interest in the field and your ability to learn things quickly. It's an opportunity to show off, but it's not the main event. Treat the exam like an interview. Before you sign up for the exam, you're going to want to ensure that you're prepared for it. Solution provider shift managers and technicians should make sure they're familiar with the exam's content. Usage load is highly sought after by users.
You want to make sure that you've taken some time to go through our training resources and then work through some practice problems particularly if you're unfamiliar with any of the concepts surrounding cloud computing or Google's technologies. So treat it like an interview for yourself ask yourself if you're ready for it, and make sure you have time set aside to be ready for it before you sign up for it! Don't take practice exams in isolation. One of your best resources when preparing for this exam is the practice exams we provide for Google Cloud Digital Leader Dumps.
Google Cloud Digital Leader Certification Exam is a valuable certification program for professionals who are involved in digital transformation initiatives. It provides an opportunity to demonstrate expertise and knowledge in cloud computing and GCP technologies. Google Cloud Digital Leader certification program is recognized globally and provides a competitive edge to professionals in the job market.
Google Cloud Digital Leader Certification Exam is a valuable credential for professionals who want to demonstrate their expertise in cloud computing and digital transformation. It can help individuals enhance their career prospects and increase their earning potential. Moreover, it can also benefit organizations that are looking to leverage the power of the cloud to drive innovation and growth. By having certified Google Cloud Digital Leaders on their team, organizations can ensure that they have the right talent to drive their digital transformation initiatives.
NEW QUESTION # 217
What is generative Al?
- A. A specific field of Al that can be used to create content
- B. An Al model for labeling images
- C. An umbrella term that includes all types of machine learning algorithms
- D. A machine learning model for language translation
Answer: A
Explanation:
The correct answer is A. A specific field of AI that can be used to create content. Here's why:
* Context of the Question: 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 References:
* Refer to the Google Cloud Generative AI documentation for more information on generative AI models and applications.
NEW QUESTION # 218
An organization has servers running mission-critical workloads on-premises around the world. They want to modernize their infrastructure with a multi-cloud architecture.
What benefit could the organization experience?
- A. Reduced likelihood of system failure during high demand events
- B. Ability to keep backups of their data on-premises in case of failure
- C. Ability to disable regional network connectivity during cyber attacks
- D. Full management access to their regional infrastructure
Answer: A
NEW QUESTION # 219
You are working with the head of the IT team and planning the move of computing systems. The questionnaire indicates that they have a reporting application that runs almost 24 hours every day of the week.
When there is extra load, it queues up the processing and executes tasks when there is less demand. Which of these compute options would you recommend for them?
- A. Use a serverless option - App Engine Standard for Flex
- B. Use a server-based option - Compute Engine.
- C. Serverless option - Cloud Run
- D. Use a serverless option - Cloud Functions
Answer: D
Explanation:
Explanation
- Because Compute Engine VMs are the preferred compute option as they are long-running.
NEW QUESTION # 220
An organization has collected petabytes of historical data. They need an advanced analysis solution that is fast, scalable, and fully managed. Which Google product or service should the organization use?
- A. Cloud Storage
- B. BigOuery
- C. Firestore
- D. Cloud SQL
Answer: B
NEW QUESTION # 221
Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?
- A. Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.
- B. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.
- C. Create reservations on Compute Engine and BigQuery.
- D. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.
Answer: C
Explanation:
Explanation
Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.
=> There is no need for involved support. It is self-serve via the console.
=> You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.
References:
https://cloud.google.com/compute/docs/instances/reserving-zonal-resources
https://cloud.google.com/bigquery/docs/reservations-intro
NEW QUESTION # 222
In terms of Dockers and Kubernetes, which of the following statements are correct?
- A. Kubernetes can be used with or without Docker.
- B. All of the above.
- C. Difference between Docker and Kubernetes relates to the role each play in con-tainerizing and running your applications
- D. Kubernetes uses Docker to deploy, manage, and scale containerized applications.
Answer: B
Explanation:
Explanation
Kubernetes vs. Docker
Often misunderstood as a choice between one or the other, Kubernetes and Docker are different yet complementary technologies for running containerized applications.
Docker lets you put everything you need to run your application into a box that can be stored and opened when and where it is required. Once you start boxing up your applications, you need a way to manage them; and that's what Kubernetes does.
Kubernetes is a Greek word meaning 'captain' in English. Like the captain is responsible for the safe journey of the ship in the seas, Kubernetes is responsible for carrying and delivering those boxes safely to locations where they can be used.
- Kubernetes can be used with or without Docker.
- Docker is not an alternative to Kubernetes, so it's less of a "Kubernetes vs. Docker" question. It's about using Kubernetes with Docker to containerize your applications and run them at scale.
- The difference between Docker and Kubernetes relates to the role each play in containerizing and running your applications.
- Docker is an open industry standard for packaging and distributing applications in containers.
- Kubernetes uses Docker to deploy, manage, and scale containerized applications.
NEW QUESTION # 223
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 multi-region bucket.
- 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 dual-region bucket.
- D. Retain the data in use in a single region bucket with standard storage.
Answer: D
Explanation:
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.
Table Description automatically generated with medium confidence
https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 224
An organization has an ecommerce application that requires a cost-effective, transactional database. The application will only serve customers in a single region. Which service should they use?
- A. Cloud SQL
- B. BigQuery
- C. Cloud Spanner
- D. Cloud Bigtable
Answer: A
Explanation:
The correct answer is C. Cloud SQL. Here's why:
* Context of the Question: The organization needs a cost-effective, transactional database for an e- commerce application serving customers in a single region. A transactional database is needed to handle online transactions with ACID (Atomicity, Consistency, Isolation, Durability) properties.
* Google Cloud Product Relevance:
* Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It is cost-effective, supports transactional workloads, and is suitable for applications with regional data residency requirements. This makes it ideal for an e-commerce application that only serves customers in a single region.
* Why Not Other Options:
* A. Cloud Spanner: Cloud Spanner is a globally distributed, strongly consistent database designed for large-scale, mission-critical applications. It is more expensive and better suited for applications requiring global distribution and high availability across multiple regions.
* B. Cloud Bigtable: Cloud Bigtable is a NoSQL wide-column database designed for low-latency, high-throughput workloads, such as analytics. It does not support ACID transactions, making it unsuitable for transactional workloads like an e-commerce application.
* D. BigQuery: BigQuery is a fully managed data warehouse designed for large-scale analytics. It is not suitable for transactional database needs.
Google Cloud Digital Leader References:
* For more details on Cloud SQL, refer to the Cloud SQL documentation in the Google Cloud platform.
NEW QUESTION # 225
An organization needs to categorize a large group of photographs using pre-trained machine learning.
Which Google Cloud product or service should the organization use?
- A. Looker
- B. AutoML Vision
- C. Vision API
- D. BigQuery ML
Answer: C
Explanation:
https://cloud.google.com/vision
NEW QUESTION # 226
What cloud deployment model is generally deployed between organizations such as non-profits, hospitals or even enterprises that share similar requirements or interests?
- A. Private
- B. Public
- C. Hybrid
- D. Community
Answer: D
Explanation:
Explanation
Community Cloud - The cloud infrastructure is planned for selective use by a particular community of consumers from organizations that have mutual interests like security needs, policy, and compliance considerations.
Reference link- https://csrc.nist.gov/glossary/term/community_cloud
NEW QUESTION # 227
An organization delivers a proactive healthcare service. They want to efficiently and automatically collect patient data.
What should the organization encourage the patients to do?
- A. Wear Internet of Things (IoT) devices that upload their health data in real time
- B. Self-assess their health data and then document and upload it in real time
- C. Visit a nurse who will use Internet of Things (IoT) devices to collect and upload their health data
- D. Use at-home health screening devices and then upload their health data daily
Answer: A
NEW QUESTION # 228
You are a program manager within a Software as a Service (SaaS) company that offers rendering software for animation studios. Your team needs the ability to allow scenes to be scheduled at will and to be interrupted at any time to restart later. Any individual scene rendering takes less than 12 hours to complete, and there is no service-level agreement (SLA) for the completion time for all scenes. Results will be stored in a global Cloud Storage bucket. The compute resources are not bound to any single geographical location. This software needs to run on Google Cloud in a cost-optimized way.
What should you do?
- A. Start more instances with fewer virtual centralized processing units (vCPUs) instead of fewer instances with more vCPUs
- B. Deploy the application on Compute Engine using preemptible instances
- C. Create a reservation for the minimum number of Compute Engine instances you will use
- D. Develop the application so it can run in an unmanaged instance group
Answer: B
Explanation:
https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 229
An organization has created an application that can diagnose different medical conditions when users submit images of their affected body parts.
Which Google Cloud product or service did the organization use?
- A. Cloud Logging
- B. App Engine
- C. Cloud Profiler
- D. Machine learning
Answer: D
Explanation:
The correct answer is B. Machine learning. Here's why:
* Context of the Question: The question describes an application that can diagnose medical conditions based on images submitted by users. This is a task typically handled by machine learning (ML) models, specifically those focused on image recognition and classification.
* Google Cloud Product Relevance:
* Machine learning (ML) is the correct service because it refers to the use of Google Cloud's AI
/ML capabilities, which include services such as AutoML Vision and Vertex AI. These tools can build and deploy machine learning models specifically for image recognition tasks, such as identifying medical conditions from images.
* AutoML Vision is designed to create custom ML models with minimal ML expertise, making it suitable for diagnosing medical conditions from images.
* Vertex AI allows for training, evaluating, and deploying ML models, including complex models for medical image diagnostics.
* Why Not Other Options:
* A. App Engine: App Engine is a platform-as-a-service (PaaS) used for building and deploying web applications, not specifically for ML or image recognition tasks.
* C. Cloud Logging: Cloud Logging is used to store, search, analyze, and monitor log data and events. It does not have any capabilities related to diagnosing medical conditions or image recognition.
* D. Cloud Profiler: Cloud Profiler is a performance analysis tool for applications running in production. It helps identify bottlenecks and optimize resource usage but has no relevance to image diagnosis or machine learning.
Google Cloud Digital Leader References:
* For more information on Machine Learning with Google Cloud, refer to the Google Cloud documentation on AutoML Vision and Vertex AI.
* Understanding the basic principles and applications of Google Cloud's ML services is crucial for the Google Cloud Digital Leader exam, which emphasizes knowing how different services solve business challenges.
NEW QUESTION # 230
Which of the following statements is/are true about Cloud Spanner offered by Google Cloud Plat-form.
- A. You don't need to shard or replicate data.
- B. All of the above.
- C. It can scale horizontally to support additional capacity.
- D. It comes with Zero Downtime, No Maintenance windows, and is proven for large and small workloads.
Answer: B
Explanation:
Explanation
Cloud Spanner:
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
- Get all the benefits of relational semantics and SQL with unlimited scale
- Start at any size and scale with no limits as your needs grow
- Enjoy high availability with zero scheduled downtime and online schema changes
- Deliver high-performance transactions with strong consistency across regions and continents
- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding.
NEW QUESTION # 231
When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model. Which of these statements define a classification model?
- A. A type of machine learning model that outputs continuous (typically, floating-point) values. E.g. the predicted price of the house is $120,000.
- B. A type of classic model approach that is less used today and which has been re-placed by the regression model.
- C. A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.
- D. A type of machine learning model for distinguishing among two or more discrete values. E.g. "book", "car".
Answer: D
Explanation:
A classification model classifies the incoming data into one or more discrete classes.
NEW QUESTION # 232
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