Download IBM Big Data Engineer.C2090-101.Train4Sure.2020-03-13.32q.vcex

Vendor: IBM
Exam Code: C2090-101
Exam Name: IBM Big Data Engineer
Date: Mar 13, 2020
File Size: 21 KB
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Demo Questions

Question 1
Which of the following statements are TRUE regarding the use of Data Click to load data into BigInsights? (Choose two.)
  1. Big SQL cannot be used to access the data moved in by Data Click because the data is in Hive
  2. You must import metadata for all sources and targets that you want to make available for Data Click activities
  3. Connections from the relational database source to HDFS are discovered automatically from within Data Click
  4. Hive tables are automatically created every time you run an activity that moves data from a relational database into HDFS
  5. HBase tables are automatically created every time you ran an activity that moves data from a relational database into HDFS
Correct answer: CE
Explanation:
Reference: https://www.ibm.com/support/knowledgecenter/en/SSZJPZ_11.3.0/com.ibm.swg.im.iis.dataclick.doc/topics/hivetables.html
Reference: https://www.ibm.com/support/knowledgecenter/en/SSZJPZ_11.3.0/com.ibm.swg.im.iis.dataclick.doc/topics/hivetables.html
Question 2
Which of the following statements regarding importing streaming data from InfoSphere Streams into Hadoop is TRUE?
  1. InfoSphere Streams can both read from and write data to HDFS
  2. The Streams Big Data toolkit operators that interface with HDFS uses Apache Flume to integrate with Hadoop
  3. Streams applications never need to be concerned with making the data schemas consistent with those on Hadoop
  4. Big SQL can be used to preprocess the data as it flows through InfoSphere Streams before the data lands in HDFS
Correct answer: D
Question 3
Which of the following is TRUE about storing an Apache Spark object in serialized form?
  1. It is advised to use Java serialization over Kryo serialization
  2. Storing the object in serialized from will lead to faster access times
  3. Storing the object in serialized from will lead to slower access times
  4. All of the above
Correct answer: B
Explanation:
Reference: https://spark.apache.org/docs/latest/rdd-programming-guide.html
Reference: https://spark.apache.org/docs/latest/rdd-programming-guide.html
Question 4
Which ONE of the following statements regarding Sqoop is TRUE?
  1. HBase is not supported as an import target
  2. Data imported using Sqoop is always written to a single Hive partition
  3. Sqoop can be used to retrieve rows newer than some previously imported set of rows
  4. Sqoop can only append new rows to a database table when exporting back to a database
Correct answer: C
Explanation:
Reference: https://sqoop.apache.org/docs/1.4.1-incubating/SqoopUserGuide.html
Reference: https://sqoop.apache.org/docs/1.4.1-incubating/SqoopUserGuide.html
Question 5
Which one of the following statements is TRUE?
  1. Spark SQL does not support HiveQL
  2. Spark SQL does not support ANSI SQL
  3. To use Spark with Hive, HiveQL queries have to rewritten in Scala
  4. Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala
Correct answer: D
Explanation:
Reference: https://spark.apache.org/docs/1.2.1/sql-programming-guide.html (overview)
Reference: https://spark.apache.org/docs/1.2.1/sql-programming-guide.html (overview)
Question 6
The number of partitions created by DynamicPartitions in Hive can be controlled by which of the following?
  1. hive.exec.max.dynamic.partitions.pernode
  2. hive.exec.max.dynamic.partitions
  3. hive.exec.max.created.files
  4. All of the above
Correct answer: A
Explanation:
Reference: https://resources.zaloni.com/blog/partitioning-in-hive
Reference: https://resources.zaloni.com/blog/partitioning-in-hive
Question 7
Which of the following are CRUD operations available in HBase? (Choose two.)
  1. HTable.Put
  2. HTable.Read
  3. HTable.Delete
  4. HTable.Update
  5. HTable.Remove
Correct answer: AC
Explanation:
Reference: https://www.tutorialspoint.com/hbase/hbase_client_api.htm
Reference: https://www.tutorialspoint.com/hbase/hbase_client_api.htm
Question 8
In order for an SPSS Modeler stream to be incorporated for use in an InfoSphere Streams application leveraging SPSS Modeler Solution Publisher, you need to:
  1. add a Type node
  2. insert any Output node
  3. add a Table node as the terminal node
  4. Make the terminal node a scoring branch
Correct answer: D
Question 9
Which of the following Hive data types is directly supported in Big SQL without any changes?
  1. INT
  2. STRING
  3. STRUCT
  4. BOOLEAN
Correct answer: B
Explanation:
Reference: https://www.ibm.com/support/knowledgecenter/en/SSCRJT_5.0.1/com.ibm.swg.im.bigsql.dev.doc/doc/biga_numbers.html
Reference: https://www.ibm.com/support/knowledgecenter/en/SSCRJT_5.0.1/com.ibm.swg.im.bigsql.dev.doc/doc/biga_numbers.html
Question 10
Which parameters are considered when configuring Big Match algorithm?
  1. Search and custom requirements
  2. Accuracy, search, and performance
  3. Adaptive weighting and standardization
  4. Empirical components, accuracy, and performance
Correct answer: B
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