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NEW QUESTION: 1
You create a Data Collector Set (DCS).
You need prevent the DCS from logging data if the server has less than 1 GB of available disk
space. What should you do?
A. Create an active file screen.
B. Modify the Stop Conditions settings of the DCS.
C. Modify the Data Manager settings of the DCS.
D. Create a passive file screen.
Answer: C
Explanation:

NEW QUESTION: 2
You need to create a partitioned table to store historical data and you issued the following command:
CREATE TABLE purchase_interval
PARTITION BY RANGE (time_id) INTERVAL (NUMTOYMINTERVAL(1,'month'))
STORE IN (tbs1,tbs2,tbs3) (
PARTITION p1 VALUES LESS THAN(TO_DATE('1-1-2005', 'dd-mm-yyyy')),
PARTITION p2 VALUES LESS THAN(TO_DATE('1-1- 2007', 'dd-mm-yyyy'))
)
AS
SELECT * FROM purchases
WHERE time_id < TO_DATE('1-1-2007','dd-mm-yyyy');
What is the outcome of the above command?
A. It creates two range partitions (P1, P2). Within each range partition, it creates monthwise subpartitions.
B. It returns an error because the number of tablespaces (TBS1,TBS2,TBS3)specified does not match the number of range partitions (P1,P2) specified.
C. It creates two range partitions of varying range. For data beyond '1-1-2007,' it creates partitions with a width of one month each.
D. It returns an error because the range partitions P1 and P2 should be of the same range.
Answer: C
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 3
An IT vendor gives a technician the following address on a support catt. 192.158.15.232. Which of the following BEST describes the address... by the vendor?
A. IPV6 address in CIDR format
B. IPv4 address in subnet mask format
C. IPv4 address in CIDR format
D. IPV address in submit mask format
Answer: B

NEW QUESTION: 4

A. Option C
B. Option B
C. Option D
D. Option A
Answer: A
Explanation:
Explanation
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used includes IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data. Because the response time for the data intake and processing is in real time, the processing is typically lightweight.
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a stream. For example, push system and application logs and they'll be available for processing in seconds. This prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For example, your data-processing application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.amazon.com/streams/latest/dev/introduction.html

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