Databricks Certified Professional Data Scientist Exam - Topic 6 Question 27 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam

Question #: 27
Topic #: 6

[All Databricks Certified Professional Data Scientist Questions]

You are working on a email spam filtering assignment, while working on this you find there is new word e.g. HadoopExam comes in email, and in your solutions you never come across this word before, hence probability of this words is coming in either email could be zero. So which of the following algorithm can help you to avoid zero probability?

ANaive Bayes

BLaplace Smoothing

CLogistic Regression

DAll of the above
Laplace smoothing is a technique for parameter estimation which accounts for unobserved events. It is more robust and will not fail completely when data that has never been observed in training shows up.

Show Suggested Answer

Suggested Answer: B

by Merilyn at Jul 22, 2022, 03:31 PM

Limited Time Offer

25%

Off

Get Premium Databricks Certified Professional Data Scientist Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Magnolia

4 months ago

I disagree, Naive Bayes alone might not cut it without smoothing.

upvoted 0 times

...

Verda

4 months ago

Nah, Logistic Regression won’t fix zero probabilities.

upvoted 0 times

...

Amira

4 months ago

Wait, all of them can help? That’s surprising!

upvoted 0 times

...

Reuben

4 months ago

I think Naive Bayes can work too, but Laplace is better for this.

upvoted 0 times

...

Fidelia

4 months ago

Definitely Laplace Smoothing! It handles zero probabilities well.

upvoted 0 times

...

Layla

5 months ago

I feel like all of the options could be relevant, but I’m leaning towards Laplace Smoothing being the most effective for this specific problem.

upvoted 0 times

...

Vi

5 months ago

I vaguely recall something about Logistic Regression, but I’m not confident it addresses the zero probability issue like Laplace does.

upvoted 0 times

...

Kaycee

5 months ago

I think Laplace Smoothing is definitely the right choice here since it’s meant to deal with zero probabilities.

upvoted 0 times

...

Sylvie

5 months ago

I remember we discussed Naive Bayes in class, but I’m not sure if it can handle unseen words without some adjustments.

upvoted 0 times

...

Joesph

5 months ago

This seems like a tricky one, but I think I've got a good handle on the key points. Fix the security concerns in both the Dockerfile and the deployment manifest, use the test-user when needed, and don't change anything else. Time to get to work!

upvoted 0 times

...

Vashti

5 months ago

Option A with the Lambda function and DynamoDB table seems like a good way to verify the integrity, but I'm not sure if it's the most operationally efficient. I'll need to weigh the pros and cons of each approach.

upvoted 0 times

...

Pete

5 months ago

I'm confident the answer is D. Amber glass bottles with metal caps are the standard for storing nitroglycerin and other light-sensitive medications. Gotta make sure they're kept in a cool, dry place.

upvoted 0 times

...

Latonia

5 months ago

Okay, I think I've got it. Even though the drug is not on the formulary, the plan's copayment structure still applies. Since the highest tier is $25, that must be the amount Mr. Midler was required to pay.

upvoted 0 times

...

Germaine

5 months ago

Hmm, I'm a bit unsure about this one. I know we need to assess the current state before setting performance targets, but I'm not sure if a process risk assessment, ROI calculation, or capabilities assessment is the right first step. I'll have to think this through.

upvoted 0 times

...