[2025年07月] 最新のCloud-Digital-Leader試験問題集には合格保証が付きます
信頼できるGoogle Cloud Certified Cloud-Digital-Leader問題集PDFで2025年07月13日に更新された問題
質問 # 36
An e-commerce company's business has been booming. To keep up with the growth the IT team also grew.
Many new people are being added and new resources are being set up. The CIO is in conver-sation with you over coffee one day and expresses her growing concern that they might be moving too fast. Their security checks and policies have not kept pace. She worries that somebody would make a misconfiguration or compliance violation thus exposing the company to data and privacy loss. What can you advise her?
- A. Use Cloud Data Loss Prevention to prevent the loss of any data.
- B. Use Security Command Center to have a centralized view of assets and get noti-fied on misconfigurations and vulnerabilities.
- C. Use Cloud Armor to block any DDoS attacks that could be a threat.
- D. Use Cloud Identity-Aware Proxy to allow only specific users to access the data.
正解：B
解説：
Security Command Center is the right tool for this use case. It can check resources for security issues and notify you when issues are found.
https://cloud.google.com/security-command-center
質問 # 37
Which of the following statements is/are true about Google Cloud BigTable?
- A. It is not compatible with Hadoop.
- B. It is an enterprise-level Database that offers relational and non-relational features
- C. It Scales from Giga Byte to Peta Byte with No Downtime.
- D. It can not be used in Real-time Ad analytics and tracking thousands of IoT Devices Data.
正解：C
解説：
Explanation
Cloud Bigtable
A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to
99.999% availability.
- Consistent sub-10ms latency-handle millions of requests per second
- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT
- Seamlessly scale to match your storage needs; no downtime during reconfiguration
- Designed with a storage engine for machine learning applications leading to better predictions
- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem
質問 # 38
What is an example of unstructured data?
- A. Call center transcripts
- B. Historical stock inventory
- C. Product ratings
- D. Customer orders
正解：A
質問 # 39
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?
- A. Cloud SQL
- B. Cloud Spanner
- C. BigQuery
- D. Cloud Storage
正解：D
解説：
Explanation
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds Text Description automatically generated
質問 # 40
How does Cloud SQL help organizations create business insights?
- A. Integrates with business intelligence and analytics platforms
- B. Transforms business data from unstructured to structured
- C. Generates real-time charts and intelligent analytics
- D. Generates predictions using machine learning models
正解：A
解説：
Explanation
https://cloud.google.com/sql/docs/postgres/using-query-insights
質問 # 41
What service is a fully managed real-time messaging service that allows you to send and receive messages between independent applications.
- A. Cloud Spanner
- B. Cloud Datastore
- C. Cloud BigTable
- D. Cloud Pub/Sub
- E. Cloud DNS
正解：D
解説：
Explanation
Google Cloud Pub/Sub is a scalable, durable event ingestion and delivery system.
-> Pub/Sub allows services to communicate asynchronously, with latencies on the order of 100 milliseconds.
-> Pub/Sub is used for streaming analytics and data integration pipelines to ingest and distribute data. It is equally effective as messaging-oriented middleware for service integration or as a queue to parallelize tasks.
-> Pub/Sub enables you to create systems of event producers and consumers, called publishers and subscribers. Publishers communicate with subscribers asynchronously by broadcasting events, rather than by synchronous remote procedure calls (RPCs).
Reference link- https://cloud.google.com/pubsub/docs/overview
質問 # 42
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?
- A. Dataflow
- B. Dataprep
- C. Dataproc
- D. Dataplex
正解：C
解説：
Because Dataproc is used to run Hadoop/Spark workloads
質問 # 43
An organization is using Compute Engine and wants to receive sustained-use discounts. What should the organization do?
- A. Commit to virtual machine usage for a one or three-year period.
- B. Choose preemptible or spot instances when creating virtual machines.
- C. Choose low-powered virtual machines.
- D. Nothing. Sustained use discounts are automatically applied.
正解：A
質問 # 44
Your Google Cloud Platform [GCP] admin has to manage a bunch of API keys for external services that are accessed by different applications, which are used by a few teams. What is the best way to manage them?
- A. Encrypt the information and store it in Cloud Storage for centralized access. Give the decrypt key only to the users who need to access it.
- B. Store the information in Secret Manager and give IAM read permissions as re-quired.
- C. Share the information in a Github repository and grant access to the repo in IAM as required.
- D. Store the information in Kubernetes Secrets and only grant read permissions to users as required.
正解：B
解説：
Store the information in Secret Manager is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data. Secret Manager provides a central place and single source of truth to manage access, and audit secrets across Google Cloud.
https://cloud.google.com/secret-manager
質問 # 45
An organization is training a machine learning model to predict extreme weather events in their country.
How should they collect data to maximize prediction accuracy?
- A. Collect extreme weather data evenly across all cities
- B. Collect all weather data primarily from at-risk cities
- C. Collect extreme weather data primarily from at-risk cities
- D. Collect all weather data evenly across all cities
正解：D
解説：
Explanation
Collect all weather data evenly across all cities. Mainly because it seems that the emphasis for data collection for ML is to make sure there are no holes in your data collection.
質問 # 46
What load balancer type is supported with Cloud Armor security policies?
- A. HTTP(S) Only
- B. Regional SSL
- C. HTTP(S) and SSL
- D. SSL Proxy, HTTP(S) and SSL
正解：A
解説：
Explanation
Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets. Each security policy is made up of a set of rules that filter traffic based on conditions such as an incoming request's IP address, IP range, region code, or request headers.
-> Google Cloud Armor security policies are available only for backend services behind an external HTTP(S) load balancer. The load balancer can be in Premium Tier or Standard Tier.
-> Google Cloud Armor security policies and IP DENY lists and ALLOW lists are available only for HTTP(S) load balancing.
Reference link- https://cloud.google.com/armor/docs/security-policy-overview
質問 # 47
Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?
- A. Group each team's projects into a separate organization node
- B. Assign labels based on the virtual machines that are part of each team's projects
- C. Use folders to group each team's projects
- D. Group each team's projects into a separate domain
正解：C
解説：
https://cloud.google.com/resource-manager/docs/creating-managing-folders
質問 # 48
An organization needs a flexible and scalable NoSQL database with strong web and mobile application support. Which Google Cloud product or service should the organization use?
- A. Cloud Spanner
- B. BigQuery
- C. restore
- D. Cloud Storage
正解：D
質問 # 49
What is an example of structured data that a healthcare facility stores in their system?
- A. Blood pressure history
- B. Surgery video recordings
- C. X-ray images
- D. Physician-written notes
正解：A
解説：
Physical measures like height, weight, blood pressure, blood type, and stage of the disease can be recorded numerically and they are structured.
質問 # 50
Which Google Cloud product gives you a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your environment?
- A. Virtual Public Cloud
- B. Anthos
- C. Compute Engine
- D. Google Kubernetes Engine
正解：B
解説：
https://cloud.google.com/anthos
質問 # 51
What cloud service model would you want to select if you want to solve a particular busi-ness problem by providing CRM services in the cloud to your enterprises?
- A. CaaS
- B. SaaS
- C. PaaS
- D. IaaS
正解：B
解説：
SaaS - Software as a Service (SaaS) provides you a complete product that is run and managed by the service provider. You worry only about using the software and not about infrastructure.
SaaS provides the lowest level of flexibility and management control over the infrastructure. (Example: Google Gsuite and MS O365)
質問 # 52
A developer in your IT team is cheating a bucket on Cloud Storage. He is receiving an error that the bucket name already exists. He has checked his project and the few other pro-jects in the organization, The name seems to be entirely unique, What would be the is-sue?
- A. Bucket names ignore any "." in the name. Look for similar bucket names that have a "." in it.
- B. Bucket names in Cloud storage have to be globally unique
- C. Bucket name are case insensitive- look for bucket name in your org that have a different capitalization.
- D. Previously deleted bucket names in the same project cannot be reused. There must have been an older bucket with the same name.
正解：B
解説：
Bucket names have to be unique across Google Cloud Platform [GCP], Including other organizations and projects.
質問 # 53
As your organization increases its release velocity, the VM-based application upgrades take a long time to perform rolling updates due to OS boot times. You need to make the application deployments faster.
What should your organization do?
- A. Automate your upgrade rollouts
- B. Increase the resources of your VMs
- C. Migrate your VMs to the cloud, and add more resources to them
- D. Convert your applications into containers
正解：A
質問 # 54
An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers.
Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?
- A. Cloud Pub/Sub, Cloud Dataflow, Data Studio
- B. Cloud Functions, Cloud Dataproc, BigQuery
- C. Cloud Functions, Cloud Dataproc, Looker
- D. Cloud Pub/Sub, Cloud Dataflow, BigQuery
正解：A
解説：
=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.
質問 # 55
A prospect wants to be able to store and analyze dat
a. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?
- A. Cloud SQL, Bigtable, BigQuery
- B. Cloud SQL, BigQuery, Datastore
- C. Spanner, Cloud SQL, BigQuery
- D. Cloud SQL, Firestore, Datastore
正解：C
解説：
Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL.
Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.
質問 # 56
You have deployed a new public web application that allows users to register and login with email ids, phone numbers, or user ids. You are seeing some unusual activity with user registrations and logins from a few IPs.
A large number of accounts were created very quickly. Logins are also hap-pening quickly thereafter from these new accounts. Different parts of the application are being ex-plored, all of which are putting a heavy load on the application. What could be a problem and how can you solve it?
- A. Bots are creating accounts and then using them. Use Google Cloud's Web App and API Protection (WAAP).
- B. A hacker group has hired a bunch of people to create accounts and manually use the system. Use Cloud Asset Inventory to see if there have been changes in the inventory.
- C. Automated testing tools might still be running and creating accounts. Use Identity-Aware Proxy to restrict the users to known users.
- D. Bots are creating accounts and then using them. Use Identity-Aware Proxy to re-strict the users to known users.
正解：A
解説：
Bots attacking the application is the most likely scenario in this case. Using WAAP is the right protection plan: Anti-DDoS, anti-bot, WAF, and API protection help you protect against new and existing threats while helping you keep your apps and APIs compliant and continuously available.
https://cloud.google.com/solutions/web-app-and-api-protection
質問 # 57
The government has mandated that companies in a particular section of healthcare must retain all the data they collect for a period of 10 years in case an audit needs to be done. Your client, who is in that industry, needs to follow regulations. In addition, your client wants to do an analysis of the data quite frequently in the first year. They also don't want to be liable for any data beyond year 10. What would recommend for your customer?
- A. Use Cloud Storage with standard storage in year one and archival storage thereaf-ter. Use Object lifecycle management to move between storage types and delete them after 10 years.
- B. Use Cloud Storage with nearline storage in year one and Coldline storage thereaf-ter. Use Object lifecycle management to move between storage types and delete them after 10 years.
- C. Use Cloud Storage with standard storage in year one and Coldline storage there-after. Set a Cloud Tasks to trigger for 1 year to change storage types and 10 years to delete the data.
- D. Use Cloud Storage with standard storage in year one and Coldline storage there-after. Set a Cloud Scheduler trigger for 1 year to change storage types and 10 years to delete the data.
正解：A
解説：
Cloud storage supports Object Lifecycle Management. To support common use cases like setting a Time to Live (TTL) for objects, retaining noncurrent versions of objects, or "downgrading" storage classes of objects to help manage costs, Cloud Storage offers the Object Lifecycle Management feature.
Standard storage is recommended for frequently accessed data and Archive for data accessed less than once a year.
Nearline, Coldline, and Archive offer ultra-low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for the long-term preservation of data. Coldline is also ideal for cold storage-data your business expects to touch less than once a quarter.
For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year.
質問 # 58
Your organization is migrating to Google Cloud. As part of that effort, it needs to move terabytes of data from on-premises file servers to Cloud Storage. Your organization wants the migration process to be automated and to be managed by Google. Your organization has an existing Dedicated Interconnect connection that it wants to use. Which Google Cloud product or feature should your organization use?
- A. Storage Transfer Service
- B. Transfer Appliance
- C. BigQuery Data Transfer Service
- D. Migrate for Anthos
正解：A
質問 # 59
......
2025年最新の実際にある検証済みのCloud-Digital-Leader問題集：https://www.jpntest.com/shiken/Cloud-Digital-Leader-mondaishu
必ず合格できるGoogle Cloud-Digital-Leader試験で正確な413問題と解答あります：https://drive.google.com/open?id=1s_XNTlTyfxKywkVBOm8F_rxVarHapc0N