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NEW QUESTION: 1
You have three images sealed in Out-of-Box-Experience (OOBE) mode.
You use the images on a daily basis to build client computers for customers.
A new customer places an order for 500 computers.
The customer's requirements for the computers are not met by any of the images.
You identify an image that you can modify by installing two applications required by the customer.
You plan to customize the image before you deploy the image to the computers.
You need to identify which steps must be taken to modify the image.
What should you do before you capture the image?
A. Start the image in audit mode on a reference computer. Install the required applications. Seal the image in OOBE mode.
B. Start the image in audit mode on a reference computer. Install the required applications. Restart the computer.
C. Start the image on a reference computer. Install the required applications. Seal the image in audit mode.
D. Start the image in audit mode on a reference computer. Install the required applications. Seal the image in audit mode.
Answer: A

NEW QUESTION: 2
Which statement is an example of "philosophic doubt"?
A. I really do not think that food functions as a reinforcer for Linda since she often misses meals.
B. I have many reservations about using the principles of behavior in designing treatment programs.
C. Attention is the most powerful reinforcer for most clients so it will probably work with Freddie.
D. Past research has shown that verbal behavior training is effective but this could change when new research is conducted.
Answer: D

NEW QUESTION: 3
A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration. The pipeline has a build stage for building the artifacts which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process, and a Solutions Architect has been given the following requirement:
* Create a new pipeline to support feature development
* Support feature development without impacting production applications
* Incorporate continuous testing with unit tests
* Isolate development and production artifacts
* Support the capability to merge tested code into production code.
How should the Solutions Architect achieve these requirements?
A. Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests. Create a stage in the pipeline with S3 as the target for staging the artifacts with an S3 bucket in a separate testing account.
B. Create a separate CodeCommit repository for feature development and use it to trigger the pipeline. Use AWS Lambda for running unit tests. Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account.
C. Trigger a separate pipeline from CodeCommit feature branches. Use AWS Lambda for running unit tests. Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account.
D. Trigger a separate pipeline from CodeCommit feature branches. Use AWS CodeBuild for running unit tests. Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/codebuild/latest/userguide/how-to-create-pipeline.html

NEW QUESTION: 4
You decided to use Cloud Datastore to ingest vehicle telemetry data in real time. You want to build a storage system that will account for the long-term data growth, while keeping the costs low. You also want to create snapshots of the data periodically, so that you can make a point-in-time (PIT) recovery, or clone a copy of the data for Cloud Datastore in a different environment. You want to archive these snapshots for a long time.
Which two methods can accomplish this? Choose 2 answers.
A. Use managed exportm, and then import to Cloud Datastore in a separate project under a unique namespace reserved for that export.
B. Use managed export, and store the data in a Cloud Storage bucket using Nearline or Coldline class.
C. Write an application that uses Cloud Datastore client libraries to read all the entities. Format the exported data into a JSON file. Apply compression before storing the data in Cloud Source Repositories.
D. Write an application that uses Cloud Datastore client libraries to read all the entities. Treat each entity as a BigQuery table row via BigQuery streaming insert. Assign an export timestamp for each export, and attach it as an extra column for each row. Make sure that the BigQuery table is partitioned using the export timestamp column.
E. Use managed export, and then import the data into a BigQuery table created just for that export, and delete temporary export files.
Answer: C,E