IBM Big Data Engineer

Here you have the best IBM C2090-101 practice exam questions

Preview the first 5 of 106 questions for free
These questions were last updated on May 20, 2026
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Question 1 of 106

Which statement is TRUE concerning optimizing the load performance?

You can improve the performance by increasing the number of map tasks assigned to the load

When loading large files the number of files that you load does not impact the performance of the LOAD HADOOP statement

You can improve the performance by decreasing the number of map tasks that are assigned to the load and adjusting the heap size

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

Question 2 of 106

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

Question 3 of 106

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

Question 4 of 106

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

Question 5 of 106

Which ONE of the following statements regarding Sqoop is TRUE?

HBase is not supported as an import target

Data imported using Sqoop is always written to a single Hive partition

Sqoop can be used to retrieve rows newer than some previously imported set of rows

Sqoop can only append new rows to a database table when exporting back to a database

Question 6 of 106

Which of the following best describes the approach used when configuring high availability across multiple regions to ensure minimal downtime during failover events?

Deploy active-active clusters with cross-region replication and automated DNS failover to maintain service continuity

Use a single-region deployment with periodic manual snapshots for disaster recovery purposes

Configure load balancers in each region with independent database instances and no synchronization

Implement cold standby servers that require manual intervention to activate during outages

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