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Exam Code: AWS-DevOps Dumps

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NEW QUESTION: 1
What services user role must you create if implementing Offboarding2.0 without Onboarding 2.0?
A. OnboardingExternalUser
B. OffboardingInternalUser
C. OffboardingService User
D. OnboardingBpeAdmin
Answer: D

NEW QUESTION: 2
You have a SharePoint Server 2010 server farm. You need to identify the average time required to load Web pages in a Web App1ication. What should you do?
A. From the Site Settings page, click Site Web Analytics reports.
B. From the Central Administration Home page, click Monitoring, and then click View health reports.
C. From the Central Administration Home page, click Monitoring, and then click Review problems and solutions.
D. From the Site Settings page, click Audit Log Reports (View Auditing Reports), and then click Content Viewing.
Answer: B
Explanation:
BURGOS MNEMO: "View health reports"

NEW QUESTION: 3
A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.
Which approach allows the Specialist to use all the data to train the model?
A. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance. Train on a small amount of the data to verify the training code and hyperparameters.
Go back to Amazon SageMaker and train using the full dataset
B. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.
C. Use AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.
D. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to train the full dataset.
Answer: B


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