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NEW QUESTION: 1
Where can you adjust the automatic account assignment? There are TWO correct answers for this question
A. Cost center (TA:KS01)
B. G/L account (TA: FS00)
C. Substitution (TA: GGB1)
D. Default account assignment (TA: OKB9)
Answer: C,D
NEW QUESTION: 2
Which statements are true regarding the system-defined moving window baseline in Oracle Database 11g? (Choose all that apply.)
A. It is created by default with the window size being equal to the AWR retention time.
B. Adaptive threshold functionalities use it by default to compute statistics.
C. It is created when the first snapshot is collected by the Automatic Workload Repository (AWR).
D. It does not allow you to change the moving window size.
Answer: A,B
Explanation:
A moving window baseline corresponds to all AWR data that exists within the AWR retention period. This is useful when using adaptive thresholds because the database can use AWR data in the entire AWR retention period to compute metric threshold values. Oracle Database automatically maintains a system-defined moving window baseline. The default window size for the system-defined moving window baseline is the current AWR retention period, which by default is 8 days. If you are planning to use adaptive thresholds, consider using a larger moving window-such as 30 days-to accurately compute threshold values. You can resize the moving window baseline by changing the number of days in the moving window to a value that is equal to or less than the number of days in the AWR retention period. Therefore, to increase the size of a moving window, you must first increase the AWR retention period accordingly.
NEW QUESTION: 3
Which statement about RIPng is true?
A. RIPng uses broadcasts to exchange routes.
B. RIPng allows for routes with up to 30 hops.
C. RIPng is enabled on each interface separately.
D. There can be only one RIPng process per router.
Answer: C
NEW QUESTION: 4
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
B. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS Glue to generate personalized product recommendations
C. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
D. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
Answer: D
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