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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?

Acategorical_column_with_vocabulary_list

Bcategorical_column_with_hash_bucket

Ccategorical_column_with_unknown_values

Dsparse_column_with_keys

Show Suggested Answer

Suggested Answer: C

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

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Lavina

10 months ago

I thought it was A at first, but B makes more sense.

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Hyun

10 months ago

I agree with B, it handles dynamic categories well.

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Lonna

10 months ago

Wait, is there really a function for unknown values? Sounds odd.

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Alida

11 months ago

Definitely B! It's perfect for unknown values.

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Sarah

11 months ago

I think it's B, categorical_column_with_hash_bucket.

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Alline

11 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

11 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

11 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

11 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

11 months ago

This question seems straightforward, I think I can handle it.

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Lenna

11 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

11 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

11 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

11 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

1 year 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

1 year 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

1 year 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

1 year ago

Let's go with option C then, it makes sense for handling unknown values.

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Arlie

1 year ago

I agree with you, option C seems like the best choice here.

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Benedict

1 year ago

I'm not so sure, I think option A might be more suitable for this scenario.

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Craig

1 year ago

I think option C is the way to go, it handles unknown values.

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Ty

1 year 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

1 year ago

I've heard that categorical_column_with_unknown_values is also an option for this scenario.

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Lore

1 year ago

I'm not sure, but I think categorical_column_with_hash_bucket could work too.

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Pura

1 year ago

I think you're right, categorical_column_with_vocabulary_list is the way to go.

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Tamekia

1 year 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

1 year ago

I prefer option B as well, using a hash bucket seems like a flexible solution.

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Ilene

1 year 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

1 year 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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