Free Hitachi Vantara Certified Specialist - Pentaho Data Integration Implementation Practice Questions

A.  

The steps will receive a stream of data from the input as soon as it is a available.

B.  

Only one step can receive data from the input step.

C.  

The steps will receive the data once the input step fully fetches it.

D.  

Multiple steps can receive data from the input step.

A.  

Execute the transformation via the pan script and pass the performance gathering parameter.

B.  

Ensure there is enough memory on the Pentaho server and that there are no "Out Of Memory' errors in the log.

C.  

Make sure the customer is using data partitioning to ensure parallel processing for fasterexecution

D.  

Verify that there are no bottleneck slaps m the transformation by comparing the amount of rows in the input buffer versus the output buffer within the Step Metrics tab

A.  

You can only use the Append streams step to join these two flows.

B.  

The row layout must be identical between the two steps.

C.  

You can use the 'Dummy (do nothing)' step to join these two flows.

D.  

The row layout can be different between the two steps as long as the data types are the same

A.  

Use the pan script

B.  

Use the import-export script.

C.  

UsingSpoon Tools > Repository > import Repository

D.  

Use the encr script.

A.  

Increase the maximum size of the message butters tor your AEL environment.

B.  

Load the data to HDFS before running thetransform.

C.  

Add the Step ID to the Configuration File.

D.  

Increase the Spark driver memory configuration.

A.  

When caching is enable, only rows with matching lookup values will passed through.

B.  

There must be enough allocated heap space to store the lookup fields allocated heap space to store the lookup fields in memory.

C.  

Cached comparisons are case sensitive.

D.  

Every input row must have only one matching row in the lookup table

E.  

Only one matching row is used from the Lookup table.

A.  

the "String operations' step

B.  

the 'Formula' step

C.  

the 'Concat Fields' step

D.  

the' Add a checksum' step

A.  

using the Pentaho MapReduce entry

B.  

using the Hadoop Job Executor entry

C.  

using Pig Script Executor entry

D.  

using Sqoop Import entry

A.  

Data duplication detection and management should be handled during realtime data processing.

B.  

You should enable error handing on each step that could cause a message parsing fatal error.

C.  

The Kafka Consumer step has an offset setting that allows records to be reprocessed inthe event of failure.

D.  

Using sorts during data ingestion can block downstream processing.

E.  

You should process data in large batches to make sure it is processed as soon as possible.