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Hitachi Vantara HCE-5920 Exam - Topic 1 Question 76 Discussion

A customer needs to extract data from many afferent text He layouts with new file layouts being identified in the future and they want to insert the data into corresponding database tables. They are concerned about maintaining multiple PDI jobs and transformations given the large number of unique files.What should you do to meet the requirements when creating transformations?
C) Use the ETL Metadata injection step
A) Use the Metadata structure of stream step for each file.
B) Use the Transformation Executor step for each file.
D) Use the Job Executor step for each file.

Hitachi Vantara HCE-5920 Exam - Topic 1 Question 76 Discussion

Actual exam question for Hitachi Vantara's HCE-5920 exam
Question #: 76
Topic #: 1
[All HCE-5920 Questions]

A customer needs to extract data from many afferent text He layouts with new file layouts being identified in the future and they want to insert the data into corresponding database tables. They are concerned about maintaining multiple PDI jobs and transformations given the large number of unique files.

What should you do to meet the requirements when creating transformations?

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Suggested Answer: C

by Carol at Jan 25, 2026, 06:10 AM

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Isabella
9 hours ago
Yes, and it reduces maintenance on PDI jobs.
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Linette
6 days ago
Agreed! It can handle new layouts easily.
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Willow
11 days ago
I think using a dynamic transformation is key.
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Myra
16 days ago
Sounds complicated!
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Shawnda
2 months ago
Consider using a metadata-driven approach for flexibility!
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Dorothy
2 months ago
Wait, can PDI really handle that many unique files efficiently?
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Tashia
2 months ago
But how do you ensure data integrity with so many formats?
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Asuncion
3 months ago
Totally agree, that would simplify the process!
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Horace
3 months ago
Use dynamic transformations to handle varying file layouts.
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Donette
3 months ago
Haha, good luck maintaining that "generic transformation" when the file layouts keep changing!
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Izetta
3 months ago
Definitely use a generic transformation, that's the way to go!
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Lonny
3 months ago
Leverage a metadata-driven approach to handle file layout changes.
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Earnestine
3 months ago
Implement a dynamic file input step to handle new file layouts.
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Lisha
4 months ago
Use a generic transformation that can handle different file layouts.
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Dorthy
4 months ago
I believe we should also look into using a single job that can adapt based on the input file type, but I can't recall the exact steps to set that up.
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Cathern
4 months ago
I'm a bit confused about how to maintain the transformations over time as new layouts come in. Should we consider using a schema registry or something?
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Tiffiny
5 months ago
I remember practicing a similar question where we had to use metadata-driven jobs. It could help us manage the different file formats without creating too many separate jobs.
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Mike
5 months ago
I think we might need to use a dynamic transformation approach to handle the varying file layouts, but I'm not entirely sure how to implement that.
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Brianne
5 months ago
Hmm, this is a classic ETL challenge. I'd start by understanding the common patterns across the file layouts and see if I can develop a generic solution to handle the parsing and mapping to the database tables. Might take some upfront work, but should pay off in the long run.
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Merlyn
5 months ago
Sounds tricky, but I think the key is to focus on building a reusable framework that can handle the dynamic nature of the file layouts. Probably want to investigate some sort of configuration-driven or code-generation approach.
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Grover
5 months ago
Oof, this one's got a lot of moving parts. Gotta find a way to abstract the file parsing logic so we don't have to maintain a ton of individual transformations. Maybe a generic file reader component could work?
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Luis
6 months ago
Okay, so we need a flexible and scalable solution to handle the varying file layouts and potential future changes. Might be worth looking into a metadata-driven approach to make it easier to adapt to new file formats.
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Barb
6 months ago
Hmm, this sounds like a common data integration challenge. I'd start by identifying the key requirements - extracting data from various text file layouts and inserting into database tables, while minimizing maintenance overhead.
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