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C2090-101 Actual Exam Questions

Last updated on Dec. 23, 2024.
Vendor:IBM
Exam Code:C2090-101
Exam Name:IBM Big Data Engineer
Exam Questions:106
97% Passed the exam with this material
 

Topic 1 - Single Topic

Question #1 Topic 1

Which statement is TRUE concerning optimizing the load performance?

  • A. You can improve the performance by increasing the number of map tasks assigned to the load
  • B. When loading large files the number of files that you load does not impact the performance of the LOAD HADOOP statement
  • C. You can improve the performance by decreasing the number of map tasks that are assigned to the load and adjusting the heap size
  • D. It is advantageous to run the LOAD HADOOP statement directly pointing to large files located in the host file system as opposed to copying the files to the DFS prior to load
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Correct Answer: A 🗳️
Reference:
https://www.ibm.com/support/knowledgecenter/en/SSCRJT_5.0.3/com.ibm.swg.im.bigsql.doc/doc/bigsql_loadperf.html

Question #2 Topic 1

Which of the following statements are TRUE regarding the use of Data Click to load data into BigInsights? (Choose two.)

  • A. Big SQL cannot be used to access the data moved in by Data Click because the data is in Hive
  • B. You must import metadata for all sources and targets that you want to make available for Data Click activities
  • C. Connections from the relational database source to HDFS are discovered automatically from within Data Click
  • D. Hive tables are automatically created every time you run an activity that moves data from a relational database into HDFS
  • E. HBase tables are automatically created every time you ran an activity that moves data from a relational database into HDFS
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Correct Answer: CE 🗳️
Reference:
https://www.ibm.com/support/knowledgecenter/en/SSZJPZ_11.3.0/com.ibm.swg.im.iis.dataclick.doc/topics/hivetables.html

Question #3 Topic 1

Which of the following statements regarding importing streaming data from InfoSphere Streams into Hadoop is TRUE?

  • A. InfoSphere Streams can both read from and write data to HDFS
  • B. The Streams Big Data toolkit operators that interface with HDFS uses Apache Flume to integrate with Hadoop
  • C. Streams applications never need to be concerned with making the data schemas consistent with those on Hadoop
  • D. Big SQL can be used to preprocess the data as it flows through InfoSphere Streams before the data lands in HDFS
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Correct Answer: D 🗳️

Question #4 Topic 1

Which of the following is TRUE about storing an Apache Spark object in serialized form?

  • A. It is advised to use Java serialization over Kryo serialization
  • B. Storing the object in serialized from will lead to faster access times
  • C. Storing the object in serialized from will lead to slower access times
  • D. All of the above
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Correct Answer: B 🗳️
Reference:
https://spark.apache.org/docs/latest/rdd-programming-guide.html

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