[2023年04月]更新のGoogle Cloud-Digital-Leader実際のブレーン知能問題集
合格できるCloud-Digital-Leader試験更新されたCloud-Digital-Leader試験問題集PDFを獲得2023年更新
Google Cloud-Digital-Leader 認定試験の出題範囲：
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質問 101
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 single region bucket with standard storage.
- D. Retain the data in use in a dual-region bucket.
正解: C
解説:
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
質問 102
You are a database manager working for a new product that will need millions of reading and writ-ing from the database, with zero downtime, key-value i.e. NoSQL features, no manual steps should be required to ensure consistency, repair data, synchronize writes and deletes, Which of the follow-ing database you choose?
- A. Cloud Spanner
- B. Cloud SQL
- C. Cloud Firestore
- D. Cloud BigTable
正解: D
解説:
Cloud BigTable
Key features
High throughput at low latency
Bigtable is ideal for storing very large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large amounts of data. Throughput scales linearly-you can increase QPS (queries per second) by adding Bigtable nodes. Bigtable is built with proven infrastructure that powers Google products used by billions such as Search and Maps.
Cluster resizing without downtime
Scale seamlessly from thousands to millions of reads/writes per second. Bigtable throughput can be dynamically adjusted by adding or removing cluster nodes without restarting, meaning you can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size again-all without any downtime.
Flexible, automated replication to optimize any workload
Write data once and automatically replicate where needed with eventual consistency-giving you control for high availability and isolation of reading and write workloads. No manual steps are needed to ensure consistency, repair data, or synchronize writes and deletes. Benefit from a high availability SLA of 99.999% for instances with multi-cluster routing across 3 or more regions (99.9% for single-cluster instances).
質問 103
How does Cloud SQL help organizations create business insights?
- A. Generates predictions using machine learning models
- B. Transforms business data from unstructured to structured
- C. Integrates with business intelligence and analytics platforms
- D. Generates real-time charts and intelligent analytics
正解: C
解説:
https://cloud.google.com/sql/docs/postgres/using-query-insights
質問 104
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 folder per department, and create a project per environment in each folder.
- D. Create a Cloud Identity domain per department, and create a project per environment in each domain.
正解: B
質問 105
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. Store the information in Kubernetes Secrets and only grant read permissions to users as required.
- 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. 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.
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 106
You have a well established development and operations team. Your teams were managing the en-tire software delivery/deployment cycle on-premise. When migrating to the cloud, you want to con-tinue having this approach. Which is the ideal option for you?
- A. IaaS - Infrastructure as a Service
- B. PaaS - Platform as a Service
- C. SaaS - Software as a Service
- D. IDaaS - Identity as a Service
正解: A
解説:
IaaS - you're given virtualized resources like VMs, Storage, Network. It is your responsibility to manage everything beyond that. This would be similar to what the organization had on-premise.
質問 107
An organization has completely migrated all their infrastructure to the cloud to benefit from its agility. Now they want to innovate faster and achieve a higher return on investment. What should the organization do?
- A. Move to a hybrid architecture with some of their infrastructure on-premises.
- B. Lower their service level objective (SLO).
- C. Modernize their applications.
- D. Manually provision all cloud infrastructure for increased control.
正解: C
解説:
Because this will enable the business to better serve their users.
質問 108
An organization wants to use BigQuery data analytics to understand their website performance, but wants to move only some data into the cloud.
Which environment should the organization use?
- A. Multi-cloud
- B. On-premises
- C. Private cloud
- D. Hybrid cloud
正解: D
解説:
The assumption should be made that there is still a private network involved. Hybrid clouds always include a private cloud and are typically managed as one entity. Multi-clouds always include more than one public cloud service, which often perform different functions.
質問 109
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 Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.
- B. Use the Rust programming language instead of Python to identify issues like rust.
- C. Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.
- D. Use AutoML Vision Edge models.
正解: D
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 110
In terms of Dockers and Kubernetes, which of the following statements are correct?
- A. All of the above.
- B. Kubernetes uses Docker to deploy, manage, and scale containerized applications.
- C. Kubernetes can be used with or without Docker.
- D. Difference between Docker and Kubernetes relates to the role each play in con-tainerizing and running your applications
正解: A
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 111
Which of the following is true while creating a boot persistent disk from a snapshot.
- A. All of the above.
- B. It is only possible to apply data from a snapshot when you first create a persistent disk.
- C. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
- D. After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.
正解: A
解説:
When you create a virtual machine (VM) instance, you must also create a boot disk for the VM. You can use a public image, a custom image, or a snapshot that was taken from another boot disk. When you create a boot disk, limit the disk size to 2 TB to account for the limitations of MBR partitioning.
Compute Engine automatically creates a boot persistent disk when you create an instance. If you require additional data storage space for your instances, add one or more secondary instance storage options.
You might need to create a standalone boot persistent disk and attach it to an instance later, or resize a boot persistent disk to improve performance and add more space for additional applications or operating system files. That process is described in Add or resize a persistent disk.
As a best practice, do not use regional persistent disks for boot disks. In a failover situation, they do not force-attach to a VM.
After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks. It is only possible to apply data from a snapshot when you first create a persistent disk. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
質問 112
An organization with hybrid cloud architecture wants to build an application once and be able to run it both on-premises and in their public cloud. Which Google Cloud solution should the organization use?
- A. Compute Engine
- B. App Engine
- C. Cloud Functions
- D. Anthos
正解: D
解説:
Anthos allows organizations to build an application once and run it anywhere.
Migrate directly from VMs, Build, deploy, and optimize apps on GKE, Anthos serverless landing zones and VMs anywhere-simply, flexibly, and securely
Reference Link- https://cloud.google.com/anthos
質問 113
Your organization needs to allow a production job to have access to a BigQuery dataset. The production job is running on a Compute Engine instance that is part of an instance group.
What should be included in the IAM Policy on the BigQuery dataset?
- A. The project that owns the Compute Engine instance
- B. The Compute Engine instance group
- C. The Compute Engine instance
- D. The Compute Engine service account
正解: D
解説:
When an identity calls a Google Cloud API, BigQuery requires that the identity has the appropriate permissions to use the resource. You can grant permissions by granting roles to a user, a group, or a service account.
Reference link- https://cloud.google.com/bigquery/docs/access-control
質問 114
An organization is altering their gaming product so that it is compatible with cloud technology.
What can they expect when moving from traditional technology to cloud technology?
- A. No change to existing responsibilities
- B. Increased hardware maintenance
- C. A shift toward using structured data
- D. A shift toward OpEx
正解: D
質問 115
An organization is planning its cloud expenditure.
What should the organization do to control costs?
- A. Use only cloud resources; they have no cloud infrastructure costs.
- B. Consider cloud resource costs as capital expenditure in annual planning.
- C. Review cloud resource costs frequently because costs depend on usage.
- D. Assess cloud resources costs only when SLO is not met by their cloud provider.
正解: C
質問 116
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 expect 100% service availability.
- B. They can avoid the limitations of serverless computing.
- C. They can have new tools to innovate and optimize resource usage.
- D. They can optimize maintenance for their on-premises infrastructure.
正解: C
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 117
You are leading projects in an IT services company. Your customer's project requires analyzing im-ages. They have many 10s of 1000s of raw images that they have made available to you. Your small technology team needs to build a machine learning model. The images are unlabeled. You don't have the people or the capacity to label the images. What is your approach?
- A. Hire temporary workers who can quickly label the images.
- B. Tell the customer it is their duty to label the images.
- C. Look for open-source labeled images that closely resemble the given images.
- D. Request data labeling service from Google.
正解: B
解説:
Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
References:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs
質問 118
Your organization stores highly sensitive data on-premises that cannot be sent over the public internet. The data must be processed both on-premises and in the cloud.
What should your organization do?
- A. Configure Identity-Aware Proxy (IAP) in your Google Cloud VPC network
- B. Order a Partner Interconnect connection with your network provider
- C. Enable Private Google Access in your Google Cloud VPC network
- D. Create a Cloud VPN tunnel between Google Cloud and your data center
正解: B
解説:
After the service provider provisions your connection, you can start passing traffic between your networks by using the service provider's network.
質問 119
You are a program manager for a team of developers who are building an event-driven application to allow users to follow one another's activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.
The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.
Which primary compute resource should your developers select, given these requirements?
- A. Compute Engine
- B. App Engine flexible environment
- C. Google Kubernetes Engine
- D. Cloud Functions
正解: D
質問 120
An organization wants to dynamically adjust its application to serve different user needs. What are the benefits of storing their data in the cloud for this use case?
- A. Data can be stored in archive for long term access
- B. Automatic data cleaning and validation
- C. No data access management required
- D. Real-time data ingestion and analysis
正解: D
解説:
By storing their application data in the cloud the organization will be able to gather and analyze user behavior data in real-time. This will enable them to dynamically adjust their application for different user needs.
質問 121
Keeping Flavours of Apigee in mind, which of the following statements is/are correct?
- A. There are two types of Flavours in Apigee i.e. Apigee & Apigee Hybrid.
- B. A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.
- C. All of the above are correct.
- D. A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.
正解: C
解説:
Flavors of Apigee
Apigee comes in the following flavors:
Apigee: A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.
Apigee hybrid: A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.
質問 122
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