Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION
Suggested Answer: C
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Challenges for Acquiring Test Data in ML Systems: Compliance needs, the changing nature of data over time, and sourcing data from public sources are significant challenges. Data being generated quickly is generally not a challenge; it can actually be beneficial as it provides more data for training and testing.
Reference: ISTQB_CT-AI_Syllabus_v1.0, Sections on Data Preparation and Data Quality Issues.
13 comments · newest first
FR
Freeman
10 months ago
Fast-paced data generation is a huge hurdle!
AL
Alonzo
10 months ago
I think option D is the least challenging.
EL
Elke
10 months ago
Nature of data changing is a real pain too.
TI
Tiara
11 months ago
Wait, public sources for test data? That seems risky.
AR
Arminda
11 months ago
Compliance needs are definitely a challenge.
WE
Wei
11 months ago
The changing nature of data seems like a significant issue, but I can't recall if it directly relates to acquiring test data.
SA
Sabine
11 months ago
I think sourcing test data from public sources might not be a challenge, since it’s often easier to access.
LA
Lavina
11 months ago
I'm not entirely sure, but I feel like the fast pace of data generation could be a challenge too.
LA
Larae
12 months ago
I remember discussing how compliance needs can complicate data acquisition, so I think that might be a challenge.
TR
Tracie
12 months ago
Okay, let me break this down. Compliance, changing data, and fast-paced data generation all sound like challenges. Public data sources don't seem as challenging, so I'll go with D.
MA
Margarett
12 months ago
Option D seems like the easiest one to eliminate. The other options all sound like potential challenges, but I'm not totally confident in my answer.
OW
Owen
1 year ago
Hmm, I'm a bit confused. I'm not sure if the options are describing challenges or not. I'll have to think this through carefully.
HE
Hector
1 year ago
This question seems straightforward. I think the answer is D - test data being sourced from public sources, as that would not be a challenge for acquiring test data.