IBM Big Data Engineer C2090-101 Exam Questions

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Share some IBM Certified Data Engineer C2090-101 exam questions and answers below.
Which ONE of the following statements regarding Sqoop is TRUE? 
A. HBase is not supported as an import target 
B. Data imported using Sqoop is always written to a single Hive partition 
C. Sqoop can be used to retrieve rows newer than some previously imported set of rows 
D. Sqoop can only append new rows to a database table when exporting back to a database 
Answer: C

The number of partitions created by DynamicPartitions in Hive can be controlled by which of the following? 
A. hive.exec.max.dynamic.partitions.pernode 
B. hive.exec.max.dynamic.partitions 
C. hive.exec.max.created.files 
D. All of the above 
Answer: A

Which one of the following statements is TRUE? 
A. Spark SQL does not support HiveQL 
B. Spark SQL does not support ANSI SQL 
C. To use Spark with Hive, HiveQL queries have to rewritten in Scala 
D. Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala 
Answer: D

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 
Answer: A

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 
Answer: D

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