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NEW QUESTION: 1
Which of the following is NOT a standard activity in AWS Data Pipeline?
A. EMR Activity
B. SnsAlarm Activity
C. Hive Activity
D. ShellCommand Activity
Answer: B
Explanation:
In AWS Data Pipeline, an activity is a pipeline component that defines the work to perform. AWS Data Pipeline provides several pre-packaged activities that accommodate common scenarios, such as moving data from one location to another, running Hive queries, and so on. Activities are extensible, so you can run your own custom scripts to support endless combinations.
AWS Data Pipeline supports the following types of activities:
.CopyActivity: Copies data from one location to another.
.EmrActivity: Runs an Amazon EMR cluster.
.HiveActivity: Runs a Hive query on an Amazon EMR cluster.
. HiveCopyActivity: Runs a Hive query on an Amazon EMR cluster with support for advanced data filtering and support for S3DataNode and DynamoDBDataNode.
.PigActivity: Runs a Pig script on an Amazon EMR cluster.
.RedshiftCopyActivity: Copies data to and from Amazon Redshift tables.
.ShellCommandActivity: Runs a custom UNIX/Linux shell command as an activity.
.SqlActivity: Runs a SQL query on a database.
Reference: http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-concepts- activities.html
NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. You plan to implement encryption on a file server named Server1. Server1 has TPM 2.0 and uses Secure Boot Server1 has the volumes configured as shown in the following table.
You need to encrypt the contents of volumes C and
G. The solution must use the highest level of security possible.
What should you use to encrypt the contents of each volume? To answer, drag the appropriate encryption options to the correct volumes. Each encryption option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
NEW QUESTION: 3
Answer:
Explanation:
Explanation
NEW QUESTION: 4
You need to compose visualization for operations teams with the following requirements:
* Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)
* The report must not be more than 3 hours delayed from live data.
* The actionable report should only show suboptimal links.
* Most suboptimal links should be sorted to the top.
* Suboptimal links can be grouped and filtered by regional geography.
* User response time to load the report must be <5 seconds.
You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?
A. Look through the current data and compose a series of charts and tables, one for each possible combination of criteria.
B. Export the data to a spreadsheet, compose a series of charts and tables, one for each possible combination of criteria, and spread them across multiple tabs.
C. Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.
D. Load the data into relational database tables, write a Google App Engine application that queries all rows, summarizes the data across each criteria, and then renders results using the Google Charts and visualization API.
Answer: C
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