Cloud-Digital-Leader PDF問題集で2025年07月05日試験問題 有効なCloud-Digital-Leader問題集
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Google Cloud Digital Leader Exam は、インターネット接続があればどこからでも受験できるコンピューターベースの試験です。試験は時間制限があり、個人は120分で完了する必要があります。この試験は、Google Cloud プラットフォームの知識と理解をテストするために設計された多肢選択問題から構成されています。
Google Cloud Digital Leader認定を獲得することは、キャリアの見通しを強化し、収益の可能性を高める素晴らしい方法です。この認定は、世界中のトップ雇用主によって認識されており、クラウドテクノロジーのスキルと知識の証です。試験に合格することで、雇用市場で競争力を獲得し、クラウドコンピューティングの分野で新しいキャリアの機会を開きます。
Google Cloudデジタルリーダー認定試験は、デジタル変革に関連する幅広いトピックをカバーする包括的なテストです。これはクラウドでデジタルイニシアチブを管理およびリードする能力を評価するために設計されています。試験は複数のセクションに分かれており、それぞれがデジタル変革の異なる側面に焦点を当てています。候補者は、クラウド技術、データ分析、機械学習、およびAIに関する知識、チームの管理、プロジェクトのリード、およびデジタル変革のための戦略の実装能力について試験を受けます。この認定は、デジタルリーダーシップとマネジメントの専門知識を証明し、キャリアの見通しを向上させたいプロフェッショナルにとって絶好の機会です。
質問 # 173
There are internal compliance requirements that demand that we do not use any APIs or services that are not backed by SLAs. Which of these are acceptable for us? (Choose two answer)
- A. General Availability
- B. Deprecated, but ensure that the SLA support period is still valid.
- C. Alpha, Beta
- D. Early Access, Preview
正解：A、B
解説：
Explanation
General Availability is the stage where SLAs apply.
Deprecated - in the deprecated stage, you should start moving away from those APIs and products. Depending on the deprecation policy, SLAs could still be valid.
質問 # 174
An organization has a large dataset that contains text transcripts of conversations between their customers and service representatives. They want an automated solution to identify the topics their customers care most about. Which service should the organization use?
- A. Natural Language API
- B. Cloud Translation API
- C. Vision API
- D. Speech-to-Text API
正解：A
解説：
The Natural Language API from Google Cloud is designed to understand and analyze human language. It can automatically identify and extract key topics, sentiments, and entities from text data, making it ideal for processing large datasets of text transcripts to determine what topics customers care most about.
Option D: Natural Language API is correct because it is specifically built for text analysis, topic modeling, and sentiment analysis.
References:
* Google Cloud Natural Language API: Text Analysis and Entity Recognition
* Google Cloud AI Solutions: Using Natural Language Processing for Customer Insights
質問 # 175
An organization's web developers and operations personnel use different systems.
How will increasing communication between the teams reduce issues caused by silos?
- A. By emphasizing shared ownership of business outcomes
- B. By increasing data encryption to strengthen workflows
- C. By assigning blame for failures and establishing consequences
- D. By combining job role responsibilities to ensure that everyone has shared access
正解：A
質問 # 176
Your client's IT environment has so far been on-premises. They run a mix of applications and data-bases on Linux and Windows. They want to move to Google Cloud in the easiest manner possi-ble. What are their best options?
- A. App Engine Standard
- B. Compute Engine with VMs with either Linux or Windows OS.
- C. Cloud Functions
- D. Cloud Run
正解：B
解説：
Compute Engine allows you to allocate VMs with different OSs - Windows and Linux, included.
質問 # 177
Which policy helps Google Cloud keep customer data private?
- A. Google does not allow customers to change encryption keys.
- B. Google migrates customer data to an offline server when a threat is detected.
- C. Google does not use customer data for advertising purposes.
- D. Google tests the service availability of customer applications.
正解：C
質問 # 178
A financial organization has many customers who close their accounts every year. The organization wants to use data and Al to identify at-risk customers, so they can retain customers by offering discounts and improved services. What should the organization do?
- A. Create a ML model based on the demographics and activities of previous customers that exited.
- B. Create a report based on last year's customer feedback.
- C. Create a survey for all customers to identify their current level of satisfaction.
- D. Create a dashboard of previous customers that have exited, and look for obvious correlations in the visualization.
正解：A
解説：
Creating a machine learning (ML) model to analyze the demographics and behaviors of customers who have previously closed their accounts is an effective approach to identify at-risk customers. This model can predict which current customers are most likely to leave, allowing the organization to proactively offer discounts or improved services to retain them.
Option D: Create a ML model based on the demographics and activities of previous customers that exited is correct because it uses data-driven insights and AI to identify patterns and predict future customer behavior.
Reference:
Google Cloud AI Platform: Building Machine Learning Models
Google Cloud Customer Retention Solutions: Using AI and Machine Learning
質問 # 179
Within Google's Site Reliability Engineering framework, which concept measures how well a system is performing?
- A. Service-level indicator
- B. Service-level objective
- C. Error reporting
- D. Service-level agreement
正解：A
質問 # 180
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. Develop the application so it can run in an unmanaged instance group
- B. Deploy the application on Compute Engine using preemptible instances
- C. Start more instances with fewer virtual centralized processing units (vCPUs) instead of fewer instances with more vCPUs
- D. Create a reservation for the minimum number of Compute Engine instances you will use
正解：B
解説：
https://cloud.google.com/compute/docs/instances/preemptible
質問 # 181
An organization wants a cost-effective relational database.
Which Google Cloud service should the organization use?
- A. Dataflow
- B. Cloud Storage
- C. Cloud SQL
- D. BigQuery
正解：C
質問 # 182
An organization is struggling to meet user demand for change and wants to modernize their legacy applications by moving the applications to the cloud Why would this help the organization satisfy user expectations'?
- A. Toil automation helps make automatic updates
- B. Customer data can be used to offer tailored content
- C. Updates can be pushed out more quickly to repair bugs
- D. DevOps requires that industry trends be measured and tracked
正解：C
解説：
Explanation
Moving legacy applications to the cloud can help organizations satisfy user expectations by enabling them to push out updates more quickly to repair bugs.
質問 # 183
Your company has been using a shared facility for data storage and will be migrating to Google Cloud. One of the internal applications uses Linux custom images that need to be migrated.
Which Google Cloud product should you use to maintain the custom images?
- A. Compute Engine
- B. Google Kubernetes Engine
- C. App Engine standard environment
- D. App Engine flexible environment
正解：A
質問 # 184
What type of cloud computing service provides raw compute, storage, and network, organized in ways that are familiar to physical data centers?
- A. Database as a Service.
- B. Infrastructure as a Service.
- C. Platform as a Service.
- D. Software as a Service.
正解：B
解説：
What is Infrastructure as a service :
IaaS (infrastructure as a service) is a computing model that offers resources on-demand to businesses and individuals via the cloud.
IaaS is attractive because acquiring computing resources to run applications or store data the traditional way requires time and capital. Enterprises must purchase equipment through procurement processes that can take months. They must invest in physical spaces: typically specialized rooms with power and cooling. And after deploying the systems, enterprises need IT, professionals, to manage them.
All this is challenging to scale when demand spikes or the business grows. Enterprises risk running out of capacity or overbuilding and ending up with infrastructure that suffers from low utilization.
These challenges are why IaaS use is steadily growing. Learn more about Compute Engine, Cloud Storage, etc.
質問 # 185
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. None of the above.
- B. Preemptible Virtual Machines.
- C. Google Cloud VM Instances
- D. Bare Metal Solutions
正解：B
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 # 186
Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another. Each department has several environments of its own: development, testing, and production.
Which strategy should your organization choose?
- A. Create a project per department, and create a folder per environment in each project.
- B. Create a Cloud Identity domain per environment, and create a project per department in each domain.
- C. Create a Cloud Identity domain per department, and create a project per environment in each domain.
- D. Create a folder per department, and create a project per environment in each folder.
正解：D
解説：
Explanation
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Reference link- https://cloud.google.com/resource-manager/docs/creating-managing-folders Reference link-
https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-project-under-it-with-deployment-mana
質問 # 187
An organization needs to categorize text-based customer reviews on their website using a pre-trained machine learning model.
Which Google Cloud product or service should the organization use?
- A. Recommendations AI
- B. TensorFlow
- C. Cloud Natural Language API
- D. Dialogflow
正解：C
解説：
https://cloud.google.com/natural-language
Use entity analysis to find and label fields within a document-including emails, chat, and social media-and then sentiment analysis to understand customer opinions to find actionable product and UX insights.
質問 # 188
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