IBM Big Data Engineer Exam (C2090-101) - IBM

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Question #1 Verified Q&A
Which statement is TRUE concerning optimizing the load performance?
A When loading large files the number of files that you load does not impact the performance of the LOAD HADOOP statement
B You can improve the performance by increasing the number of map tasks assigned to the load
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
Correct Answer: You can improve the performance by increasing the number of map tasks assigned to the load
Explanation:
https://www.ibm.com/support/knowledgecenter/en/SSCRJT_5.0.3/com.ibm.swg.im.bigsql.doc/doc/ bigsql_loadperf.html
Question #2 Verified Q&A
Which of the following statements are TRUE regarding the use of Data Click to load data into BigInsights? (Choose two.)
A HBase tables are automatically created every time you ran an activity that moves data from a relational database into HDFS
B Connections from the relational database source to HDFS are discovered automatically from within Data Click
C Big SQL cannot be used to access the data moved in by Data Click because the data is in Hive
D You must import metadata for all sources and targets that you want to make available for Data Click activities
E Hive tables are automatically created every time you run an activity that moves data from a relational database into HDFS
Explanation:
https://www.ibm.com/support/knowledgecenter/en/SSZJPZ_11.3.0/ com.ibm.swg.im.iis.dataclick.doc/topics/hivetables.html
Question #3 Verified Q&A
Which of the following statements regarding importing streaming data from InfoSphere Streams into<br />
Hadoop is TRUE?
A Streams applications never need to be concerned with making the data schemas consistent with those on Hadoop
B InfoSphere Streams can both read from and write data to HDFS
C The Streams Big Data toolkit operators that interface with HDFS uses Apache Flume to integrate with Hadoop
D Big SQL can be used to preprocess the data as it flows through InfoSphere Streams before the data lands in HDFS
Correct Answer: Big SQL can be used to preprocess the data as it flows through InfoSphere Streams before the data lands in HDFS
Question #4 Verified Q&A
Which of the following is TRUE about storing an Apache Spark object in serialized form?
A Storing the object in serialized from will lead to faster access times
B It is advised to use Java serialization over Kryo serialization
C Storing the object in serialized from will lead to slower access times
D All of the above
Correct Answer: Storing the object in serialized from will lead to faster access times
Explanation:
https://spark.apache.org/docs/latest/rdd-programming-guide.html
Question #5 Verified Q&A
Which ONE of the following statements regarding Sqoop is TRUE?
A Data imported using Sqoop is always written to a single Hive partition
B Sqoop can be used to retrieve rows newer than some previously imported set of rows
C HBase is not supported as an import target
D Sqoop can only append new rows to a database table when exporting back to a database
Correct Answer: Sqoop can be used to retrieve rows newer than some previously imported set of rows
Explanation:
https://sqoop.apache.org/docs/1.4.1-incubating/SqoopUserGuide.html

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