Talend Big Data v6 Certified Developer Exam

Talend certification exams measure candidates' skills to ensure that they have the knowledge to successfully implement quality projects. Preparation is critical to passing.

This certification exam covers topics related to the development of Talend Studio Jobs to process Big Data using the MapReduce, Spark, and Spark streaming frameworks. Topics include but are not limited to general information about the Hadoop ecosystem, reading and writing tables or files in a Hadoop cluster, and processing tables or files using Hive, Pig, MapReduce, or Spark.

Certification Exam Details

Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standardfor example, a new exam version with more difficult questions may have a lower passing score.

Approximate number of questions: 60
Time limit: 1 hour (60 minutes)
Types of questions:

  • Multiple choice
  • Multiple response
  • True or false
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Recommended Experience

General knowledge of Hadoop: HDFS, Map Reduce v1 and v2, Hive, Pig, HBase, Hue, Zookeeper, Sqoop and Spark.

Experience with Talend Big Data 6.x solutions and Talend Studio, including metadata creation, configuration, and troubleshooting.


To prepare for the certification exam, Talend recommends:

  • Take the Big Data Basics training course
  • Take the Big Data Advanced – Spark training course
  • Study the training material
  • Read the product documentation
  • Acquire experience by using the product for at least 6 months

Certification Exam Topics

Big Data—general concepts

  • YARN daemons
  • How HDFS works
  • The Hadoop ecosystem: Pig, Hive, Hue, Hbase, and Sqoop
  • The process to create cluster metadata in Talend Studio
  • Ways to test connectivity to a Hadoop cluster


  • What is HDFS?
  • Talend components dedicated to HDFS: names, how they work, how to configure them
  • Mandatory configuration to connect to HDFS
  • Troubleshooting common issues


  • What is Hive?
  • Talend components dedicated to Hive: names, how they work, how to configure them
  • How to create, profile, and preview Hive tables
  • Troubleshooting common issues


  • What is Pig?
  • Talend components dedicated to Pig: names, how they work, how to configure them
  • Troubleshooting common issue


  • What is HBase?
  • Talend components dedicated to HBase: names, how they work, how to configure them
  • Troubleshooting common issues


  • What is Sqoop?
  • Talend components dedicated to Sqoop: names, how they work, how to configure them
  • Troubleshooting common issues

Big Data batch Jobs

  • Configuration of Job execution: cluster information, memory limits
  • How to run a Big Data batch Job

Sample Questions

    1. You designed a Big Data batch using the MapReduce framework. You plan to execute it on a cluster using Map Reduce v1. What mandatory configuration must be specified on the Hadoop Configuration tab of the Run view?

      Choose all that apply.

      a. Name Node

      b. Data Node

      c. Resource Manager

      d. Job Tracker

    2. What is HDFS?

      a. A data warehouse infrastructure tool for processing structured data in Hadoop

      b. A tool for importing/exporting tables from/to the Hadoop file system

      c. A column-oriented key/value data store built to run atop the Hadoop file system

      d. The primary storage system used by Hadoop applications

    3. In which perspective of Studio can you run an analysis on Hive table content?

      a. Profiling

      b. Integration

      c. Big Data

      d. Mediation

    4. HDFS components can only be used in Big Data batch or Big Data streaming Jobs.

      a .True

      b. False

    5. ZooKeeper service is mandatory to coordinate transactions between Talend Studio and HBase.

      a .True

      b .False

    6. Select the outgoing links allowed for a tSqoopImport component:

      a. Main

      b. Iterate

      c. OnSubjobOk

      d. SqoopCombine

    7. What is the name of the Pig scripting language?

      a. Pig Latin

      b. Pig Scripting Language

      c. Pig QL

      d. Pig Code



  1. a and d
  2. d
  3. a
  4. b
  5. a
  6. b and c
  7. a