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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
5 months ago
I thought it was A at first, but B makes more sense.
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Hyun
5 months ago
I agree with B, it handles dynamic categories well.
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Lonna
6 months ago
Wait, is there really a function for unknown values? Sounds odd.
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Alida
6 months ago
Definitely B! It's perfect for unknown values.
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Sarah
6 months ago
I think it's B, categorical_column_with_hash_bucket.
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Alline
6 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
6 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
6 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
6 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
6 months ago
This question seems straightforward, I think I can handle it.
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Lenna
6 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
6 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
6 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
7 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
11 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
11 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
11 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
9 months ago
Let's go with option C then, it makes sense for handling unknown values.
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Arlie
10 months ago
I agree with you, option C seems like the best choice here.
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Benedict
10 months ago
I'm not so sure, I think option A might be more suitable for this scenario.
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Craig
10 months ago
I think option C is the way to go, it handles unknown values.
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Ty
11 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
10 months ago
I've heard that categorical_column_with_unknown_values is also an option for this scenario.
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Lore
10 months ago
I'm not sure, but I think categorical_column_with_hash_bucket could work too.
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Pura
10 months ago
I think you're right, categorical_column_with_vocabulary_list is the way to go.
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Tamekia
12 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
10 months ago
I prefer option B as well, using a hash bucket seems like a flexible solution.
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Ilene
11 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
11 months ago
I agree, option B is a good choice for handling unknown values in a categorical column.
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Jeanice
1 year 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
1 year ago
I agree with Sabrina, because it allows us to specify a list of possible values for the column.
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Sabrina
1 year ago
I think the answer is A) categorical_column_with_vocabulary_list.
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