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NEW QUESTION: 1
Which of the following statements arc accurate in describing features of Hadoop rack awareness? (Choose 2)
A. Even for small clusters on a single rack, configuring rack awareness will improve performance.
B. Hadoop gives preference to intra-rack data transfer In order to conserve bandwidth.
C. HDFS is rack aware but MapReduce daemons are not.
D. Rack location is considered in the HDFS block placement policy.
E. Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.
Answer: B,D

NEW QUESTION: 2
Legacy applications currently send messages through a single Amazon EC2 instance, which then routes the messages to the appropriate destinations. The Amazon EC2 instance is a bottleneck and single point of failure, so the company would like to address these issues.
Which services could address this architecture use case? (Select TWO)
A. Amazon SOS
B. Amazon Route 53
C. AWS STS
D. AWS Glue
E. Amazon SNS
Answer: A,E

NEW QUESTION: 3
You need to build an A) solution that will be shared between several developers and customers.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook
* Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook.
Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook's primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook

NEW QUESTION: 4
A company has developed a custom tool used in its workflow that runs within a Docker container The company must perform manual steps each time the container code is updated to make the container image available to new workflow executions The company wants to automate this process to eliminate manual effort and ensure a new container image is generated every time the tool code is updated Which combination of actions should a solutions architect take to meet these requirements? (Select THREE.)
A. Configure an AWS CodeDeptoy application that triggers an application version update that pulls the latest tool container image from Amazon ECR, updates the container with code from the AWS CodeCommrt repository, and pushes the updated container image to Amazon ECR.
B. Configure an AWS CodeBuild project that pulls the latest tool container image from Amazon ECR, updates the container with code from the source AWS CodeCommit repository, and pushes the updated container image to Amazon ECR
C. Configure an Amazon EventBridge rule that triggers on commits to the AWS CodeCommrt repository for the tool Configure the event to trigger an update to the tool container image in Amazon ECR Push the updated container image to Amazon ECR
D. Configure an AWS CodePipeline pipeline that sources the tool code from the AWS CodeCommit repository and initiates an AWS CodeDeptoy application update
E. Configure an AWS CodePipeline pipeline that sources the tool code from the AWS CodeCommit repository and initiates an AWS CodeBuild build
F. Configure an Amazon ECR repository for the tool Configure an AWS CodeCommit repository containing code for the tool being deployed to the container image in Amazon ECR
Answer: B,E,F
Explanation:
Explanation
https://aws.amazon.com/fr/blogs/devops/build-a-continuous-delivery-pipeline-for-your-container-images-with-am