File Info
| Exam | IBM Big Data Engineer |
| Number | C2090-101 |
| File Name | IBM.C2090-101.Train4Sure.2020-03-13.32q.tqb |
| Size | 107 KB |
| Posted | Mar 13, 2020 |
| Download | IBM.C2090-101.Train4Sure.2020-03-13.32q.tqb |
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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.)
- Big SQL cannot be used to access the data moved in by Data Click because the data is in Hive
- You must import metadata for all sources and targets that you want to make available for Data Click activities
- Connections from the relational database source to HDFS are discovered automatically from within Data Click
- Hive tables are automatically created every time you run an activity that moves data from a relational database into HDFS
- 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?
- InfoSphere Streams can both read from and write data to HDFS
- The Streams Big Data toolkit operators that interface with HDFS uses Apache Flume to integrate with Hadoop
- Streams applications never need to be concerned with making the data schemas consistent with those on Hadoop
- 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?
- It is advised to use Java serialization over Kryo serialization
- Storing the object in serialized from will lead to faster access times
- Storing the object in serialized from will lead to slower access times
- 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
