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NEW QUESTION: 1
A. Option A
B. Option B
C. Option C
D. Option D
Answer: A
NEW QUESTION: 2
A. Option C
B. Option A
C. Option D
D. Option E
E. Option B
Answer: C,D,E
Explanation:
Create or view the parameter combinations that determine which accounts the fixed asset transactions will be posted
to if they are assigned the selected posting profile.
The key parameters are as follows:
* The value in the Groupings field, by which you can set up one posting profile for all fixed assets, one for each fixed
asset group, or one for each or a particular fixed asset.
* The fixed asset transaction type.
* The value model used.
Reference: Fixed asset posting profiles (form) [AX 2012]
NEW QUESTION: 3
You are designing an application that will store petabytes of medical imaging data When the data is first created, the data will be accessed frequently during the first week. After one month, the data must be accessible within 30 seconds, but files will be accessed infrequently. After one year, the data will be accessed infrequently but must be accessible within five minutes.
You need to select a storage strategy for the dat
a. The solution must minimize costs.
Which storage tier should you use for each time frame? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers
NEW QUESTION: 4
You use YARN to manage the resources for a Spark Thrift Server running on a Linux- based Apache Spark cluster in Azure HDInsight.
You discover that the cluster does not fully utilize the resources. You want to increase resource allocation.
You need to increase the number of executors and the allocation of memory to the Spark
Thrift Server driver.
Which two parameters should you modify? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. spark.cores.max
B. spark.dynamicAllocation.maxExecutors
C. spark.executor.memory
D. spark_thrift_cmd_opts
E. spark.executor.instances
Answer: B,C
Explanation:
References: https://stackoverflow.com/questions/37871194/how-to-tune-spark-executor- number-cores-and-executor-memory