Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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  • Q & A: 365 Questions and Answers
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  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
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NEW QUESTION: 1
A company selected Opera 10 as its corporate browser. Drive-by downloads are occurring and SONAR
intercepts the resulting scripts. How should the company proceed to minimize the occurrence of drive-by
downloads?
A. Reboot the Symantec Endpoint Protection client.
B. Upgrade to Opera 11.
C. Enable browser protection.
D. Use Internet Explorer or Firefox.
Answer: D

NEW QUESTION: 2
CORRECT TEXT
The dpkg-____ command will ask configuration questions for a specified package, just as if the package were being installed for the first time.
Answer:
Explanation:
reconfigure

NEW QUESTION: 3
A combiner reduces:
A. The number of output files a reducer must produce.
B. The number of values across different keys in the iterator supplied to a single reduce method call.
C. The number of input files a mapper must process.
D. The amount of intermediate data that must be transferred between the mapper and reducer.
Answer: D
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?

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