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NEW QUESTION: 1
SQL> SELECT name, active_sessions, queue_length, Consumed_cpu_time, cpu_waits, cpu_wait_time FROM v$rsrc_consumer_group;
NAMEACTIVE_SESSIONS QUEUE_LENGTH CONSUMED_CPU_WAITS CPU_WAIT_TIME
OLTP__ORDER__ENTRY1029690 467 6709 OTHES__GROUPS 0 059823664089 60425 SYS_GROUP 1 02420704 914 19540 DS.S_QUERIES4245946603004 55700
A. Option C
B. Option B
C. Option A
D. Option D
E. Option E
Answer: A,E
NEW QUESTION: 2
You are designing an Azure Data Factory pipeline for processing data. The pipeline will process data that is stored in general-purpose standard Azure storage.
You need to ensure that the compute environment is created on-demand and removed when the process is completed.
Which type of activity should you recommend?
A. HDInsight Pig activity
B. Databricks Python activity
C. Databricks Jar activity
D. Data Lake Analytics U-SQL activity
Answer: A
Explanation:
Explanation
The HDInsight Pig activity in a Data Factory pipeline executes Pig queries on your own or on-demand HDInsight cluster.
References:
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-hadoop-pig
NEW QUESTION: 3
With customizable forecasting you can forecast any of the following data (3)
A. units of individual products
B. amount
C. quantity
D. units of product family
Answer: B,C,D