最新の2024年03月17日試験エンジン練習問題Cloud-Digital-Leader最新の有効問題集を提供中です [Q101-Q122]

最新の2024年03月17日試験エンジン練習問題Cloud-Digital-Leader最新の有効問題集を提供中です

試験解答はCloud-Digital-Leader最新版テストエンジンをタダで提供します

この試験では、クラウドコンピューティングの基本、Googleクラウドプラットフォームアーキテクチャ、データ管理、機械学習、セキュリティ、コンプライアンスなど、幅広いトピックをカバーしています。これは、Googleクラウドテクノロジーとそのアプリケーションを実際のシナリオで深く理解する必要がある包括的な試験です。この試験に合格すると、Google Cloud Technologiesを使用してデジタルイニシアチブをリードし、イノベーションを推進する能力が示され、クラウドの力を活用して成長と成功を促進しようとする組織にとって貴重な資産になります。

Google Cloud Digital Leader Examは、50の質問で構成される複数選択試験です。試験は120分で完了するように設計されており、候補者は合格するために少なくとも70％を獲得する必要があります。この試験では、クラウドコンピューティングの基本、Googleクラウドサービス、セキュリティとコンプライアンス、コストの最適化、デジタルトランスフォーメーションなど、さまざまなトピックをカバーしています。

質問 # 101
You are currently managing workloads running on Windows Server for which your company owns the licenses. Your workloads are only needed during working hours, which allows you to shut down the instances during the weekend. Your Windows Server licenses are up for renewal in a month, and you want to optimize your license cost.
What should you do?

A. Renew your licenses for an additional period of 3 years. Renew your licenses for an additional period of 3 years. Negotiate a cost reduction with your current hosting provider wherein infrastructure cost is reduced when workloads are not in use
B. Migrate the workloads to Compute Engine with a bring-your-own-license (BYOL) model
C. Renew your licenses for an additional period of 2 years. Negotiate a cost reduction by committing to an automatic renewal of the licenses at the end of the 2 year period
D. Migrate the workloads to Compute Engine with a pay-as-you-go (PAYG) model

正解：B

質問 # 102
Which of the following options is/are correct about Preemptible VMs?

A. None of the Above.
B. Both A & B
C. You can not use Preemptible VMs at fault-tolerant workloads such as high-performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.
D. Preemptible VMs don't have fixed pricing.

正解：A

解説：
Explanation
Preemptible VMs:
Predictable and low cost
Preemptible VMs are up to 80% cheaper than regular instances. Pricing is fixed so you will always get low cost and financial predictability, without worrying about variable market pricing.
Expand your batch processing
Supplement your regular VMs with lower-cost, preemptible instances to finish your compute-intensive work faster, saving you time and money. Throw preemptible VMs at fault-tolerant workloads such as high performance computing, big data and analytics, continuous integration/continuous delivery (CI/CD), rendering/transcoding, and testing.
Get more from your containers
Containers are naturally stateless and fault tolerant, making them a great fit for preemptible VMs! You save on your containerized workloads today with these affordable compute instances. Take advantage of Google Kubernetes Engine for your containerized workloads and Managed Instance Groups to painlessly and seamlessly recover from preemptions.
Enable it instantly
Simply add --preemptible to the gcloud command line and you're off to the races. There's no bidding to code for, and with per-second billing, just shut down your VMs as soon as you're done.

質問 # 103
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?

A. Apply a unique tag to development resources
B. Put the development resources in their own project
C. Associate the development resources with their own billing account
D. Associate the development resources with their own network

正解：B

質問 # 104
If you increase the size of a subnet in a custom VPC network, the IP addresses of virtual machines already on that subnet might be affected. Which options are Correct.

A. True
B. Not Defined by Google Cloud Platform
C. None of the above
D. False

正解：D

解説：
You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn't affect already configured VMs.

質問 # 105
Your company needs to segment Google Cloud resources used by each team from the others. The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?

A. One organization per team.
B. One top-level folder per team.
C. One project per team.
D. One project that contains all of each team's resources.

正解：C

解説：
Reference: https://cloud.google.com/security/infrastructure/design
The Teams need to segmented to have visibility on the resources each team consumes

質問 # 106
Which of the following statements is / are correct about Machine Learning?

A. Machine learning automates the job of building statistical models with Human In-tervention.
B. Robotic process automation (RPA) can not be attached with ML.
C. Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.
D. None of the Above.

正解：C

解説：
Customer service
Machine learning examples include chatbots and automated virtual assistants to automate routine customer service tasks and speed up issue resolution.

質問 # 107
What issues can arise when organizations integrate third-party systems into their cloud infrastruc-ture?

A. Third-party systems may not be powerful enough to run many critical business applications.
B. Third-party systems are less capable of addressing an organization's security re-quirements.
C. Over-reliance on third-party systems limits an organization's potential for innova-tion.
D. Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.

正解：D

解説：
Explanation
Because unsecured third-party systems are a cybersecurity threat.

質問 # 108
How does Google Cloud ensure that customer data remains secure and private when at rest?

A. By aggregating training data for customers within each industry
B. By providing privacy reviews for critical customer applications
C. By auditing platform privacy practices against industry standards
D. By automatically locking files containing suspicious code

正解：C

解説：
Explanation
Google Cloud commitment to keep the data secure and private:
1. Org owns the data and not Google
2. Google does not sell data to 3rd parties
3. All customer data is encrypted by default
4. Google Cloud guards insider against your data
5. No backdoor access to any govt. entity
6. Google's privacy practices are audited against international standards

質問 # 109
What is a key difference between VMs and containers?

A. Virtual Machines use a shared operating system and are therefore lighter; containers are heavier on resources.
B. Each Virtual Machine in a machine has its own operating system; containers will share the same operating system.
C. Virtual Machines can only run Linux; containers can run any operating system.
D. Virtual Machines take less time to launch; containers take longer to launch.

正解：B

解説：
Explanation
VMs have their individual OSs. All containers on a node use the host operating system.

質問 # 110
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. Tell the customer it is their duty to label the images.
B. Hire temporary workers who can quickly label the images.
C. Request data labeling service from Google.
D. Look for open-source labeled images that closely resemble the given images.

正解：A

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 # 111
A startup is planning to create their entire suite of applications on Google Cloud. They are looking at various open source technologies to build applications. One of the considera-tion is about having a well integrated monitoring tool. They have to be able to constantly review load capacity and performance of their applications and virtual machines. What would you advise them to do?

A. Update the application code to regularly write to output logs. Export the logs to BigQuery to analyze them frequently.
B. Since they are using open source for applications, find another open source monitoring tool and integrate it, which could turn out to be very cheap.
C. It is best to build a custom solution so that they know it integrates well with all their custom applications.
D. Use the Google Cloud Operations Suite which contains monitoring among other operations tools.

正解：D

解説：
Operations Suite is well integrated into Google and it s the recommended option.
References: https://cloud.google.com/products/operations

質問 # 112
An organization wants to use all available data to offer predictive suggestions on their website that improve over time.
Which method should the organization use?

A. Data automation
B. Multiple regression
C. Machine learning
D. Trends analysis

正解：C

質問 # 113
An organization wants to add a new function to their application. They want to write the code and let the public cloud provider handle the infrastructure.
Which infrastructure solution should they use?

A. Bare Metal Solution
B. Container Registry
C. Serverless computing
D. Virtual machines

正解：C

解説：
Serverless computing , as public cloud prouder(eg. google) will mange the infra things

質問 # 114
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. Convert your applications into containers
B. Increase the resources of your VMs
C. Automate your upgrade rollouts
D. Migrate your VMs to the cloud, and add more resources to them

正解：A

質問 # 115
What according to you are NOT the key capabilities of In-App Messaging?

A. Sending relevant messages to the target audience
B. Increasing conversion for user-to-user sharing
C. Creating customized and flexible alerts
D. Target messages accordingly to the change in the behavior pattern of the target audience.

正解：B

解説：
In-App Messaging
Engage active app users with contextual messages.
Firebase In-App Messaging helps you engage users who are actively using your app by sending them targeted and contextual messages that nudge them to complete key in-app actions - like beating a game level, buying an item, or subscribing to content.

質問 # 116
Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?

A. Build a homogenous infrastructure at each subsidiary, and invest in hiring more engineers.
B. Host all your subsidiaries' services on-premises together with your existing services.
C. Build a homogenous infrastructure at each subsidiary, and invest in training their engineers.
D. Host all your subsidiaries' services together with your existing services on the public cloud.

正解：D

質問 # 117
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. Cloud Bigtable
B. BigQuery
C. Pub/Sub
D. Cloud Spanner

正解：D

質問 # 118
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?

A. Apply a unique tag to development resources
B. Put the development resources in their own project
C. Associate the development resources with their own network
D. Associate the development resources with their own billing account

正解：D

質問 # 119
Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?

A. PaaS
B. SaaS
C. On premises
D. IaaS

正解：D

解説：
Explanation
The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.

質問 # 120
Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?

A. Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.
B. Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.
C. Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.
D. Use AutoML Image - upload the images and let it create a working model for you.

正解：D

解説：
Explanation
It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process.
Reference Link- https://cloud.google.com/automl

質問 # 121
An organization runs their application on a virtual machine, but every time they want to edit specific features, they have to bring the system offline to update the applica-tion. What would be a more appropriate solution for their app?

A. Containers
B. GPUs
C. Solid State Disk
D. Hypervisors

正解：A

解説：
Because containers can compartmentalize applications which enables parts to be edited in isolation.

Reference link- https://cloud.google.com/learn/what-are-containers