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Clinical Trials Programming Using SAS 9.4

  • Exam Number/Code : A00-282
  • Exam Name : Clinical Trials Programming Using SAS 9.4
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
What are the means to Optimized SAP HANA Data Load into SAP NetWeaver BW?
There are 2 correct answers to this question.
Response:
A. Enable direct loading from HANA Views via DTP into BW managed schema
B. You create an ODP source system to connect the source
C. Data persistency in PSA optional Mass data loading
D. You create a Data Source for an operational data provider
Answer: A,C

NEW QUESTION: 2
After installing Enterprise Security, the distributed configuration management tool can be used to create which app to configure indexers?
A. Splunk_SA_ForIndexers.spl
B. Splunk_ES_ForIndexers.spl
C. Splunk_DS_ForIndexers.spl
D. Splunk_TA_ForIndexers.spl
Answer: D
Explanation:
Reference:
https://docs.splunk.com/Documentation/ES/6.1.0/Install/InstallTechnologyAdd-ons

NEW QUESTION: 3

A. Option A
B. Option C
C. Option B
D. Option E
E. Option D
Answer: A,B

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 64 : You have been given below code snippet.
val a = sc.parallelize(List("dog", "salmon", "salmon", "rat", "elephant"), 3) val b = a.keyBy(_.length) val c = sc.parallelize(Ust("dog","cat","gnu","salmon","rabbit","turkey","wolf","bear","bee"), 3) val d = c.keyBy(_.length) operation1
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(lnt, (Option[String], String))] = Array((6,(Some(salmon),salmon)),
(6,(Some(salmon),rabbit}}, (6,(Some(salmon),turkey)), (6,(Some(salmon),salmon)),
(6,(Some(salmon),rabbit)), (6,(Some(salmon),turkey)), (3,(Some(dog),dog)),
(3,(Some(dog),cat)), (3,(Some(dog),gnu)), (3,(Some(dog),bee)), (3,(Some(rat),
(3,(Some(rat),cat)), (3,(Some(rat),gnu)), (3,(Some(rat),bee)), (4,(None,wo!f)),
(4,(None,bear)))
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
solution : b.rightOuterJqin(d).collect
rightOuterJoin [Pair] : Performs an right outer join using two key-value RDDs. Please note that the keys must be generally comparable to make this work correctly.