Latest IBM Certified Data Engineer C2090-101 Exam Dumps – [2019 Dumps]

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Vendor IBM
Exam Code C2090-101
Full Exam Name Big Data Engineer
Certification Name IBM Certified Data Engineer
Technology Big Data Platform

♥ 2018 Valid C2090-101 Exam Dumps ♥

C2090-101 exam questions, C2090-101 PDF dumps; C2090-101 exam dumps: C2090-101 Dumps (53 Q&A) (New Questions Are 100% Available! Also Free Practice Test Software!)

Latest and Most Accurate IBM C2090-101 Exam Dumps:

Version: 8.0

Question: 1

Which statement is TRUE concerning optimizing the load performance?

  1. You can improve the performance by increasing the number of map tasks assigned to the load
  2. When loading large files the number of files that you load does not impact the performance of the

LOAD

HADOOP statement

  1. You can improve the performance by decreasing the number of map tasks that are assigned to the

load

and adjusting the heap size

  1. 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

Question: 2

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

  1. Connections from the relational database source to HDFS are discovered automatically from

within Data

Click

  1. Hive tables are automatically created every time you run an activity that moves data from a

relational

database into HDFS

  1. HBase tables are automatically created every time you ran an activity that moves data from a

relational

database into HDFS

Answer: CE

Question: 3

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

  1. Streams applications never need to be concerned with making the data schemas consistent with

those on Hadoop

  1. Big SQL can be used to preprocess the data as it flows through InfoSphere Streams before the data

lands in HDFS

Answer: D

Question: 4

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

Answer: B

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