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IBM C2090-101 Exam Questions

Status: RETIRED
Exam Name: Big Data Engineer
Exam Code: C2090-101
Related Certification(s): IBM Certified Data Engineer Certification
Certification Provider: IBM
Actual Exam Duration: 75 Minutes
Number of C2090-101 practice questions in our database: 106 (updated: 02-12-2021)
Expected C2090-101 Exam Topics, as suggested by IBM :
  • Topic 1: Implement entity resolution within a Big Data platform/ Load unstructured data into InfoSphere BigInsights
  • Topic 2: Import data into Hadoop and create Big SQL table definitions/ Utilize Pig for data transformation and data manipulation
  • Topic 3: Make specific performance tuning decisions for Hive and HBase/ Import streaming data into Hadoop using InfoSphere Streams
  • Topic 4: Utilize Apache Hue for search visualization/ Extract data from a relational source using Sqoop
  • Topic 5: Utilize consistent regions in InfoSphere Streams to ensure at least once processing/ Load log data into Hadoop using Flume
  • Topic 6: Insert data via IBM General Parallel File System (GPFS) Posix file system API/ Use Jaql query methods to transform data in InfoSphere BigInsights
  • Topic 7: Evaluate use cases for selecting potential file formats/ Use Resilient Distributed Dataset (RDD) to improve MapReduce performance
  • Topic 8: Evaluate use cases for selecting Hive, Big SQL, or HBase/ Create a BigSheets workbook
  • Topic 9: Export processing results out of Hadoop/ Load data with Hadoop command line utility
  • Topic 10: Analyze performance considerations when using Apache Spark/ Keep data secure within PCI standards
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Free IBM C2090-101 Exam Actual Questions

Note: Premium Questions for C2090-101 were last updated On 02-12-2021 (see below)

Question #1

Which one of the following file formats is optimal for querying tables with many columns and performing aggregation operations such as SUM() and AVG()?

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Correct Answer: C

Question #2

When creating a configuration file for a Flume agent, which of the following must be configured?

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Correct Answer: C

Flume agents consist of three elements: a source, a channel, and a sink. The channel connects the source to the sink. You must configure each element in the Flume agent. Different source, channel, and sink types have different configurations


https://www.ibm.com/support/knowledgecenter/SSCKRH_1.0.3/alerts/c_fcai_modflumeagents.html

Question #3

Consider the following Solr query:

What is the term that is being searched?

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Question #5

When loading data into Big SQL, which statement is TRUE concerning the underlying storage mechanisms supported?

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