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Google Professional Data Engineer Exam - Topic 2 Question 66 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 66
Topic #: 2
[All Professional Data Engineer Questions]

Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column?

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Suggested Answer: C

by Gracia at Mar 01, 2023, 03:15 PM

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Lavina
4 months ago
I thought it was A at first, but B makes more sense.
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Hyun
4 months ago
I agree with B, it handles dynamic categories well.
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Lonna
4 months ago
Wait, is there really a function for unknown values? Sounds odd.
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Alida
4 months ago
Definitely B! It's perfect for unknown values.
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Sarah
4 months ago
I think it's B, categorical_column_with_hash_bucket.
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Alline
5 months ago
I’m leaning towards B too, but I vaguely recall something about C being related to unknown values as well.
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Val
5 months ago
I feel like I saw something about handling unknown values in TensorFlow, and it was definitely not D.
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Elin
5 months ago
I remember practicing a question about categorical columns, but I'm not sure if it's A or C. They both sound familiar.
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Veronika
5 months ago
I think the answer might be B, categorical_column_with_hash_bucket, since it allows for unknown values.
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Sharee
5 months ago
This question seems straightforward, I think I can handle it.
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Lenna
5 months ago
This seems familiar! I think we discussed how the multiple device messaging feature interacts with user limits in class, but I can't recall the specifics.
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Nikita
5 months ago
Hmm, this looks like a tricky one. I'll need to think carefully about the distribution-specific configuration files and which commands might interact with them.
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Kenda
5 months ago
Okay, I got this. The share price is $4.75, so I just need to find the earnings per share and divide. Simple enough, I think.
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Jerilyn
5 months ago
I'm a little confused by this question. If the destination MAC address belongs to the ADC, but the IP address doesn't, I'm not sure if the ADC will route, process, or drop the packets. I'll have to review the Citrix ADC behavior in this type of scenario before answering.
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Teri
9 months ago
Well, if all else fails, I guess we could just throw a bunch of random values in a hat and pick one. That's how I usually solve my TensorFlow problems!
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Mayra
9 months ago
Ooh, I've heard of sparse_column_with_keys before. That could be an interesting option too. Might have to do some more research on that one.
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Eric
9 months ago
Hold up, what about option C? Isn't that specifically designed for handling unknown values? Seems like the logical choice to me.
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Jodi
8 months ago
Let's go with option C then, it makes sense for handling unknown values.
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Arlie
8 months ago
I agree with you, option C seems like the best choice here.
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Benedict
8 months ago
I'm not so sure, I think option A might be more suitable for this scenario.
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Craig
8 months ago
I think option C is the way to go, it handles unknown values.
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Ty
10 months ago
Hmm, I'm not sure about that. Shouldn't we be using something like categorical_column_with_vocabulary_list instead? That seems more straightforward.
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Holley
8 months ago
I've heard that categorical_column_with_unknown_values is also an option for this scenario.
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Lore
8 months ago
I'm not sure, but I think categorical_column_with_hash_bucket could work too.
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Pura
9 months ago
I think you're right, categorical_column_with_vocabulary_list is the way to go.
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Tamekia
10 months ago
I think option B is the way to go. Using a hash bucket is a great way to handle unknown values in a categorical column.
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Wynell
9 months ago
I prefer option B as well, using a hash bucket seems like a flexible solution.
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Ilene
9 months ago
I think option A could also work well if you have a list of possible values for the column.
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Jennie
9 months ago
I agree, option B is a good choice for handling unknown values in a categorical column.
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Jeanice
11 months ago
I'm not sure, but I think it's either A or C. We can use categorical_column_with_unknown_values if we don't know all possible values.
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Keneth
11 months ago
I agree with Sabrina, because it allows us to specify a list of possible values for the column.
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Sabrina
11 months ago
I think the answer is A) categorical_column_with_vocabulary_list.
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