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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are a database administrator for an e-commerce company that runs an online store. The company has three databases as described in the following table.
You plan to load at least one million rows of data each night from DB1 into the OnlineOrder table. You must load data into the correct partitions using a parallel process.
You create 24 Data Flow tasks. You must place the tasks into a component to allow parallel load. After all of the load processes compete, the process must proceed to the next task.
You need to load the data for the OnlineOrder table.
What should you use?
A. Lookup transformation
B. Foreach Loop container
C. Balanced Data Distributor transformation
D. Union All transformation
E. Merge Join transformation
F. Sequential container
G. Merge transformation
H. MERGE statement
The Parallel Loop Task is an SSIS Control Flow task, which can execute multiple iterations of the standard Foreach Loop Container concurrently.
NEW QUESTION: 2
Four testers have each submitted an incident report in which each reported a problem with the User log-on process. User log-on is a critical component of the system. The table below describes the four defect reports submitted.
Which Tester has reported the incident MOST effectively, considering the information and priority they have supplied?
A. Tester 2
B. Tester 3
C. Tester 1
D. Tester 4
NEW QUESTION: 3
A user is collecting 1000 records per second. The user wants to send the data to CloudWatch using the
custom namespace. Which of the below mentioned options is recommended for this activity?
A. It is not possible to send all the data in one call. Thus, it should be sent one by one. CloudWatch will aggregate the data automatically
B. Aggregate the data with statistics, such as Min, max, Average, Sum and Sample data and send the data to CloudWatch
C. Create one csv file of all the data and send a single file to CloudWatch
D. Send all the data values to CloudWatch in a single command by separating them with a comma. CloudWatch will parse automatically
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. The user can publish data to CloudWatch as single data points or as an aggregated set of data points called a statistic set using the command put-metric-data. It is recommended that when the user is having multiple data points per minute, he should aggregate the data so that it will minimize the number of calls to put-metric-data. In this case it will be single call to CloudWatch instead of 1000 calls if the data is aggregated.