最新の[2024年08月05日] 実際に出る検証済みのCloud-Digital-Leader問題集
合格させるGoogle Cloud-Digital-Leader試験更新されたのは325問があります
Google Cloud-Digital-Leader認定は、CIO、CTO、ITディレクター、その他のテクノロジーリーダーなどのデジタル変革イニシアチブをリードする個人を対象としています。この認定試験は、デジタル変革をよりよく理解し、Googleクラウドテクノロジーを活用して組織のイノベーションを促進する方法を獲得したいビジネスリーダーにも適しています。
質問 # 40
Your organization needs to analyze data in order to gather insights into its daily operations. You only want to pay for the data you store and the queries you perform. Which Google Cloud product should your organization choose for its data analytics warehouse?
- A. Cloud SQL
- B. BigQuery
- C. Cloud Spanner
- D. Dataproc
正解：B
解説：
Explanation
BigQuery is an enterprise data warehouse for large amounts of relational structured data Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility.
質問 # 41
Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale. Which Google Cloud product or service should your organization use?
- A. Pub/Sub
- B. BigQuery
- C. Cloud Spanner
- D. Cloud Bigtable
正解：C
解説：
Reference: https://cloud.google.com/terms/services
Cloud Spanner is a fully-managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale
質問 # 42
You are a program manager in a company and handling a project and you need to create a virtual machine on google cloud console that will be very simple to set up, by flipping a bit via command, API, or with developer console that gives you 30 seconds to shut down when you're preempted, allow you to save your work that also helps in the company budget upto 70-80% of less charges than the regular VMs.
- A. Bare Metal Solutions
- B. Google Cloud VM Instances
- C. None of the above.
- D. Preemptible Virtual Machines.
正解：D
解説：
Explanation
Preemptible VMs have all these features
Simple configuration
Create a preemptible instance simply by flipping a bit via command, API, or developer console.
Easy extensibility
Attach GPUs and local SSDs to preemptible instances for additional performance and savings.
Graceful shutdown
Compute Engine gives you 30 seconds to shut down when you're preempted, letting you save your work in progress for later.
Large scale computing
Spin up as many instances as you need and turn them off when you're done. You only pay for what you use.
Quickly reclaim capacity
Managed instance groups automatically recreate your instances when they're preempted (if capacity is available).
Fixed pricing
Preemptible VMs have fixed pricing up to 80% off regular instances. They show up on your bill separately so you'll see just how much you're saving.
質問 # 43
certain devices for cracks, rust, etc. Some of these issues are difficult to identify for a human and your company has seen increasing customer complaints - the customer has paid for an inspection and the field agent said there was no problem, but it later turned out there actually was. The team has come up with a proposal to engage AI to identify issues. On evaluating the existing system, it is seen that the mobile phone network connection is not good or consistent. What solution can work for them?
- A. Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
- B. Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
- C. Use AutoML Vision Edge models.
- D. Use the Rust programming language instead of Python to identify issues like rust.
正解：C
解説：
AutoML Vision Edge model can be deployed to one of several types of edge devices, such as mobile phones, ARM-based devices, and the Coral Edge TPU
https://cloud.google.com/vision/automl/docs/edge-quickstart
質問 # 44
Your organization is releasing its first publicly available application in Google Cloud. The application is critical to your business and customers and requires a 2-hour SLA.
How should your organization set up support to minimize costs?
- A. Enroll in Premium Support
- B. Enroll in Enhanced Support
- C. Enroll in Standard Support
- D. Enroll in Basic Support
正解：B
質問 # 45
Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?
- A. Cloud Vision API
- B. AutoML Tables
- C. BigQuery ML
- D. AutoML Video Intelligence
正解：B
質問 # 46
Which Google Cloud product can report on and maintain compliance on your entire Google Cloud organization to cover multiple projects?
- A. Identity and Access Management
- B. Cloud Logging
- C. Google Cloud Armor
- D. Security Command Center
正解：A
質問 # 47
Each of the three cloud service models - infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) - offers benefits between flexibility and levels of management by the cloud provider and the customer.
Why would SaaS be the right choice of service model?
- A. You want to maximize flexibility for the customer.
- B. You want to minimize the level of management by the customer
- C. You want to be able to shift your emphasis between flexibility and management by the cloud provider as business needs change
- D. You want a balance between flexibility for the customer and the level of management by the cloud provider
正解：B
解説：
Benefits of SaaS
The main benefit of SaaS is that it offloads all infrastructure and application management to the SaaS vendor.
Reference:
質問 # 48
In terms of Dockers and Kubernetes, which of the following statements are correct?
- A. Kubernetes uses Docker to deploy, manage, and scale containerized applications.
- B. Kubernetes can be used with or without Docker.
- C. All of the above.
- D. Difference between Docker and Kubernetes relates to the role each play in con-tainerizing and running your applications
正解：C
解説：
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.
質問 # 49
A Multiple projects within your organization have long-term VM usage. Based on current demand, they are able to project into the future and estimate how many VM hours they will use every year. Going in for a committed use contract seems sensible. How can you configure committed use easily across all the projects?
- A. Share a Google Sheet and request each project team to send in their estimate. Enable committed use accordingly on a per-project basis.
- B. Enable committed use with discount sharing for the projects
- C. Review the usage of resources by each project on a daily basis. Enable committed use for the following day based on that number, so that it gives maximum granularity without wastage.
- D. Take a report of each project's use in the last year. Enable committed use on a per-project basis based on the previous year's numbers.
正解：B
解説：
Enable committed use discounts are applied to the project from which you purchased it. To share the discount across multiple projects linked to your Cloud Billing account, enable committed use discount sharing from the console. When you enable committed use discount sharing, all of your current active committed use dis-counts in all the projects under the same Cloud Billing account, including those you previously purchased and new ones you purchase in the future are shared across your Cloud Billing account. Your sustained use discounts are also pooled and shared across all projects within your Cloud Billing account.
質問 # 50
An organization's developers are growing increasingly frustrated by the limitations of their on-premises infrastructure.
How would they benefit from leveraging cloud technology?
- A. They can avoid the limitations of serverless computing.
- B. They can have new tools to innovate and optimize resource usage.
- C. They can expect 100% service availability.
- D. They can optimize maintenance for their on-premises infrastructure.
正解：B
解説：
Explanation
Google cloud have vast majority of products/tools that you can use to innovate. Additionally, there are products in google that scale automatically based from usage (Ex. App Engine, Cloud Run, etc.)
質問 # 51
An organization's developers are growing increasingly frustrated by the limitations of their on-premises infrastructure.
How would they benefit from leveraging cloud technology?
- A. They can avoid the limitations of serverless computing.
- B. They can have new tools to innovate and optimize resource usage.
- C. They can expect 100% service availability.
- D. They can optimize maintenance for their on-premises infrastructure.
正解：B
解説：
Google cloud have vast majority of products/tools that you can use to innovate. Additionally, there are products in google that scale automatically based from usage (Ex. App Engine, Cloud Run, etc.)
質問 # 52
One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?
- A. Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.
- B. Use the Unified AI Platform to create a custom TensorFlow model.
- C. Use BigQuery ML to create machine learning models using SQL queries.
- D. Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.
正解：C
解説：
Explanation
BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.
https://cloud.google.com/bigquery-ml/docs/
質問 # 53
An organization wants to search hundreds of scanned documents for key information like dates, names, and other specific words.
Why should the organization use application programming interfaces (APIs)?
- A. To replace the scanned documents with an online survey
- B. To transform the documents into unstructured data.
- C. To ingest data in real time and encrypt unmatched words
- D. To create digital versions of the documents and locate key information
正解：B
解説：
Explanation
The text from the PDF/scanned documents/images gets converted into JSON (unstructured file) which will be further used for search.
質問 # 54
A manager wants to review Google Cloud data access among their employees.
Who is responsible for defining data access policies?
- A. Cloud Identity
- B. Their organization's IT team
- C. Their organization's end users
- D. Google Cloud Customer Care team
正解：B
解説：
Cloud Identity and Access Management (IAM) helps customers to define fine-grained access policies and precisely control access to Google Cloud-hosted data.
質問 # 55
Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.
Which Google Cloud product should your organization choose?
- A. Cloud SQL
- B. Firestore
- C. Cloud Bigtable
- D. Cloud Data Fusion
正解：C
質問 # 56
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Google Cloud Digital Leader Certification Exam は、デジタルトランスフォーメーションの最新技術に熟練したい個人向けに設計された認定試験です。この認定試験は、クラウドでのデジタルリーダーシップとマネジメントの知識を証明したいプロフェッショナルを対象としています。この試験では、クラウドコンピューティング、データ分析、機械学習、人工知能などの分野で候補者のスキルがテストされます。
今すぐ試そう2024年最新の無料更新されたGoogle Cloud-Digital-Leader試験問題と解答：https://www.jpntest.com/shiken/Cloud-Digital-Leader-mondaishu
Cloud-Digital-Leader問題集PDFとテストエンジン試験問題：https://drive.google.com/open?id=1uq0jIG52b9jfdXDEf_TJqvTc0QQG-3zS