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NEW QUESTION: 1
Which two statements are true about WHERE and HAVING clauses? (Choose two)
A. A HAVING clause can be used to restrict both rows and groups.
B. A WHERE clause CANNOT be used in a query of the query uses a HAVING clause.
C. A HAVING clause can be used to restrict groups only.
D. A HAVING clause CANNOT be used in sub queries.
E. A WHERE clause can be used to restrict both rows and groups.
F. A WHERE clause can be used to restrict rows only.
Answer: C,F
Explanation:
B: WHERE clause cannot be use to restrict groups
WHERE clause cannot be use when there is group functions.
D: A HAVING clause can only e used to restrict GROUPS.
Note: HAVING clause to specify which groups are to be displayed and thus further restrict the groups on the basis of aggregate information. The Oracle server performs the following steps when you use the Having clause
1.rows are grouped
2.the group function is applied to the group
3.the group that match the criteria in the Having clause are displayed.
Incorrect Answers :
A. Where clause cannot be use to restrict groups
C. A HAVING clause can only e used to restrict GROUPS.
E. WHERE clause cannot be use when there is group function, instead HAVING is to be use.
F. There is no constraint to use HAVING clause in a sub queries.
Refer:Introduction toOracle9i:SQL, Oracle University Student Guide, Aggregating Data using Group Functions, p. 5-20
NEW QUESTION: 2
Attempts, one of the three types of items associated with the schedule pipeline in the AWS Data Pipeline, provides robust data management.
Which of the following statements is NOT true about Attempts?
A. Attempts provide robust data management.
B. An AWS Data Pipeline Attempt object compiles the pipeline components to create a set of actionable instances.
C. AWS Data Pipeline retries a failed operation until the count of retries reaches the maximum number of allowed retry attempts.
D. AWS Data Pipeline Attempt objects track the various attempts, results, and failure reasons if applicable.
Answer: B
Explanation:
Explanation
Attempts, one of the three types of items associated with a schedule pipeline in AWS Data Pipeline, provides robust data management. AWS Data Pipeline retries a failed operation. It continues to do so until the task reaches the maximum number of allowed retry attempts. Attempt objects track the various attempts, results, and failure reasons if applicable. Essentially, it is the instance with a counter. AWS Data Pipeline performs retries using the same resources from the previous attempts, such as Amazon EMR clusters and EC2 instances.
http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-how-tasks-scheduled.html
NEW QUESTION: 3
A. WinPE-Scripting
B. WinPE-HTA
C. WinPE-NetFX4
D. WinPE-MDAC
E. WinPE-WMI
Answer: C,E
Explanation:
* WinPE-NetFX4 contains a subset of the .NET Framework 4.5 that is designed for client applications.
* Dependencies: Install WinPE-WMI before you install WinPE-NetFX4.
Note: Not all Windows binaries are present in Windows PE, and therefore not all Windows APIs are present or usable. Due to the limited API set, the following .NET Framework features have no or reduced functionality in Windows PE: Windows Runtime
NET Framework Fusion APIs
Windows Control Library event logging
NET Framework COM Interoperability
NET Framework Cryptography Model
Reference: Windows PE Optional Components Reference
NEW QUESTION: 4
A company's website provides users with downloadable historical performance reports. The website needs a solution that will scale to meet the company's website demands globally. The solution should be cost effective, limit the? provisioning of Into and provide the fastest possible response time.
Which combination should a solutions architect recommend to meet these requirements?
A. Application Load Balancer with Amazon EC2 Auto Scaling
B. Amazon Route 53 with internal Application Load Balances
C. AWS Lambda and Amazon Dynamo
D. Amazon CloudFront and Amazon S3
Answer: A