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Python Institute PCAP-31-03 Exam - Topic 6 Question 39 Discussion

You are going to read 16 bytes from a binary file into a bytearray called data. Which lines would you use? (Select two answers)
A) data = bytearray (16) bf.readinto (data) and D) data = bytearray (binfile.read (16))
B) data = binfile.read (bytearray (16))
C) bf. readinto (data = bytearray (16))

Python Institute PCAP-31-03 Exam - Topic 6 Question 39 Discussion

Actual exam question for Python Institute's PCAP-31-03 exam
Question #: 39
Topic #: 6
[All PCAP-31-03 Questions]

You are going to read 16 bytes from a binary file into a bytearray called dat

a. Which lines would you use? (Select two answers)

Show Suggested Answer Hide Answer
Suggested Answer: A, D

https://docs.python.org/3/library/functions.html#func-bytearray

https://docs.python.org/3/library/io.html


by Elke at Dec 07, 2022, 04:32 AM

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Filiberto
9 months ago
I thought you couldn't mix read and bytearray like that.
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Ivory
9 months ago
Wait, can you really use readinto with a bytearray like that?
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My
9 months ago
B looks wrong to me, it won't work like that.
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Freeman
9 months ago
Definitely A, but I'm not sure about D.
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Audra
9 months ago
I think A and D are the right choices.
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Emerson
10 months ago
I definitely recall using readinto before, so I think A and C could be the best choices here.
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Shalon
10 months ago
I’m a bit confused about option D; it seems like it could work, but I’m not sure if it matches the question exactly.
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Cammy
10 months ago
I remember practicing with reading files, and I feel like option C might be the correct one too.
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Leatha
10 months ago
I think option A looks familiar, but I'm not sure if it's the right way to initialize the bytearray.
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Audria
10 months ago
I'm a little confused by this question. The options seem to cover a range of different machine learning techniques, but I'm not sure which one is best for anomaly detection. I'll have to review my notes and try to figure this out.
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Kasandra
10 months ago
I've seen a practice question that mentioned HDX Insight specifically in relation to optimization techniques. That's where I'm leaning.
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