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2023 Correct and Up-to-date Google Cloud-Digital-Leader BrainDumps [Q16-Q33]

2023 Correct and Up-to-date Google Cloud-Digital-Leader BrainDumps [Q16-Q33]

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2023 Correct and Up-to-date Google Cloud-Digital-Leader BrainDumps

Current Cloud-Digital-Leader dumps Preparation through Our Practice Test

NO.16 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?

 
 
 
 

NO.17 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?

 
 
 
 

NO.18 You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale dat a. Which of the following Google Cloud Services will you use?

 
 
 
 

NO.19 Your company’s development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them.
What should you do?

 
 
 
 

NO.20 What are the key features of Google Cloud Identity.

 
 
 
 

NO.21 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?

 
 
 
 

NO.22 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?

 
 
 
 

NO.23 Which of the following statements is / are correct about Machine Learning?

 
 
 
 

NO.24 How would a global organization benefit from managing their data with Cloud Spanner?

 
 
 
 

NO.25 An organization is training a machine learning model to make predictions.
What could improve the prediction accuracy of their model?

 
 
 
 

NO.26 Your organization offers public mobile apps and websites. You want to migrate to a Google Cloud-based solution for checking and maintaining your users’ usernames and passwords and controlling their access to different resources based on their identity.
Which should your organization choose?

 
 
 
 

NO.27 You’re negotiating SLAs with a customer. You have communicated that there will be a 99.99% (four 9s) availability for the service you are providing. Every aspect of the service is under your con-trol. They want to modify the reliability to 99.999% (five 9s). What do you tell them? (Choose two answer)

 
 
 
 

NO.28 Your customer currently has a hybrid cloud setup including their on-premises data center and AWS. They are consolidating all their services on Google Cloud as part of a modernization plan and want to spend less IT effort in the future. There are about 10 MySQL and 25 PostgreSQL databases across the two DCs. What is the best option to for them?

 
 
 
 

NO.29 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?

 
 
 
 

NO.30 Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don’t want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?

 
 
 
 

NO.31 Your organization wants to optimize its use of Google Cloud’s discounts on virtual machine-based workloads. You plan to use 200 CPUs constantly for the next 3 years, and you forecast that spikes of up to 300 CPUs will occur approximately 30% of the time. What should you choose?

 
 
 
 

NO.32 An organization wants to leverage tooling and automation as part of its new DevOps philosophy.
Which operational challenge will this resolve?

 
 
 
 

NO.33 Your team is using BigQuery as your central data warehouse. You are running a certain workload that you’ve run frequently over the last few days. It is a short, high capacity ana-lytics workload. Which of the following would be an appropriate pricing model to use?

 
 
 
 

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