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NEW QUESTION: 1
An enterprise company's data science team wants to provide a safe, cost-effective way to provide easy access to Amazon SageMaker. The data scientists have limited AWS knowledge and need to be able to launch a Jupyter notebook instance. The notebook instance needs to have a preconfigured AWS KMS key to encrypt data at rest on the machine learning storage volume without exposing the complex setup requirements.
Which approach will allow the company to set up a self-service mechanism for the data scientists to launch Jupyter notebooks in its AWS accounts with the LEAST amount of operational overhead?
A. Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.
B. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SaqeMaker::Notebooklnstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section.
Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
C. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::Notebooklnstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's 1AM role.
D. Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
Answer: B

NEW QUESTION: 2

A. Option A
B. Option B
C. Option D
D. Option C
Answer: B

NEW QUESTION: 3
Which of the following statements about a Smart Link group are true? (Choose three.)
A. Of the two interfaces in a Smart Link group, one is active, and the other is standby.
B. Smart Link group consists of a maximum of two interfaces. Where there are two interfaces, one is an active interface, and the other a standby interface.
C. When an active interface goes Down, the Smart Link group automatically blocks it and changes the status of the standby interface to active.
D. When an active interface recovers, the standby interface is blocked and traffic is switched back to the active interface.
Answer: A,B,C

NEW QUESTION: 4
To ease the debugging of packages, you standardize the SQL Server Integration Services (SSIS) package logging methodology. The methodology has the following requirements:
Centralized logging in SQL Server
Simple deployment
Availability of log information through reports or T-SQL
Automatic purge of older log entries
Configurable log details
You need to configure a logging methodology that meets the requirements while minimizing the amount of deployment and development effort. What should you do?
A. Use the dtutil /copy command.
B. Deploy the package by using an msi file.
C. Use the Integration Services Deployment Wizard.
D. Use the gacutil command.
E. Run the package by using the dtexec /dumperror /conn command.
F. Add a data tap on the output of a component in the package data flow.
G. Create a reusable custom logging component.
H. Deploy the package to the Integration Services catalog by using dtutil and use SQL Server to store the configuration.
I. Run the package by using the dtexecui.exe utility and the SQL Log provider.
J. Run the package by using the dtexec /rep /conn command.
K. Create an OnError event handler.
Answer: I
Explanation:
According to these references, this answer looks correct.
References: http://msdn.microsoft.com/en-us/library/ms140246.aspx http://msdn.microsoft.com/en-us/library/hh231187.aspx