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NEW QUESTION: 1
A. Slowly Changing Dimension
B. Data Conversion
C. Lookup
D. Multicast
E. Aggregate
Answer: C,D
Explanation:
Explanation: A: The transformation that distributes data sets to multiple outputs.
The transformation that distributes data sets to multiple outputs.
C: Lookup Transformation
The transformation that looks up values in a reference table using an exact match.
Note:
* SQL Server Integration Services provides three different types of data flow components:
sources, transformations, and destinations. Sources extract data from data stores such as tables and views in relational databases, files, and Analysis Services databases.
Transformations modify, summarize, and clean data. Destinations load data into data stores or create in-memory datasets.
Incorrect:
Not B: Data Conversion Transformation
The transformation that converts the data type of a column to a different data type.
Not D: Slowly Changing Dimension Transformation
The transformation that configures the updating of a slowly changing dimension.
Not E: The Aggregate transformation applies aggregate functions, such as Average, to column values and copies the results to the transformation output. Besides aggregate functions, the transformation provides the GROUP BY clause, which you can use to specify groups to aggregate across.
NEW QUESTION: 2
A software company hosts an application on AWS, and new features are released weekly. As part of the application testing process, a solution must be developed that analyzes logs from each Amazon EC2 instance to ensure that the application is working as expected after each deployment. The collection and analysis solution should be highly available with the ability to display new information with minimal delays.
Which method should the company use to collect and analyze the logs?
A. Enable detailed monitoring on Amazon EC2, use Amazon CloudWatch agent to store logs in Amazon S3, and use Amazon Athena for fast, interactive log analytics.
B. Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Firehose to further push the data to Amazon Elasticsearch Service and Kibana.
C. Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and visualize using Amazon QuickSight.
D. Use Amazon CloudWatch subscriptions to get access to a real-time feed of logs and have the logs delivered to Amazon Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and Kibana.
Answer: D
NEW QUESTION: 3
You are designing a high availability (HA) environment for a company that has three office locations. Details of the services deployed at each office are shown in the table below:
You need to maximize availability, minimize data loss, and minimize downtime in the event of a failure.
Which solution should you implement for each location? To answer, drag the appropriate solutions to the correct locations. Each solution 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:
Explanation
The Always On availability groups feature is a high-availability and disaster-recovery solution that provides an enterprise-level alternative to database mirroring.
References:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/always-on-availability-groups
NEW QUESTION: 4
どこにアクティビティを割り当てることができますか？
この質問には2つの正解があります。
応答：
A. 注文操作
B. 通知ヘッダー
C. 注文ヘッダー
D. 通知項目
Answer: B,D