Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Microsoft AI-102 Exam - Topic 11 Question 65 Discussion

Actual exam question for Microsoft's AI-102 exam
Question #: 65
Topic #: 11
[All AI-102 Questions]

You are building a solution that will detect anomalies in sensor data from the previous 24 hours.

You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.

Which type of detection should you use?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Jacob at May 31, 2024, 05:25 AM

Limited Time Offer

25%

Off

Get Premium AI-102 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Rosann
6 months ago
Batch is the way to go, it scans the whole dataset at once!
upvoted 0 times
...
Jules
6 months ago
Wait, why batch? Isn’t streaming more real-time?
upvoted 0 times
...
Avery
6 months ago
Change point detection seems off for this scenario.
upvoted 0 times
...
Hyun
7 months ago
I think streaming could work too, but not sure.
upvoted 0 times
...
Jesus
7 months ago
Definitely batch detection for this!
upvoted 0 times
...
Reiko
7 months ago
I practiced a similar question, and I believe batch detection is the right choice for processing the whole dataset simultaneously.
upvoted 0 times
...
An
7 months ago
Change point detection sounds familiar, but I’m not clear on how it applies to scanning all the data at once.
upvoted 0 times
...
Malcolm
7 months ago
I'm not entirely sure, but I remember something about streaming detection being useful for real-time data.
upvoted 0 times
...
Veronique
8 months ago
I think we should go with batch detection since we need to analyze the entire dataset from the last 24 hours.
upvoted 0 times
...
Melita
8 months ago
Batch detection seems like the logical choice here. Scanning the entire dataset at once is exactly what we need to do to find any anomalies.
upvoted 0 times
...
Bev
8 months ago
Change point detection? I'm not sure that's the best fit for this scenario. I think I'll go with batch detection as the safest option.
upvoted 0 times
...
Emilio
8 months ago
Batch detection sounds like the right choice to me. We need to analyze the full 24-hour dataset, so that approach makes the most sense.
upvoted 0 times
...
Moon
8 months ago
I'm a bit unsure here. Batch or streaming - which one would be better for detecting anomalies across the whole dataset? I'll have to think this through carefully.
upvoted 0 times
...
Allene
8 months ago
Hmm, this seems straightforward. I think batch detection is the way to go since we need to scan the entire 24-hour dataset at once.
upvoted 0 times
...
Kris
8 months ago
Hmm, I'm not entirely sure about this one. I'll need to think it through carefully and consider each option.
upvoted 0 times
...
Lon
8 months ago
Hmm, I'm a little unsure about this one. The question mentions splitting orders by delivery location, but none of the options seem to directly address that. I might need to re-read the question more carefully.
upvoted 0 times
...
Jannette
8 months ago
I'm leaning towards option B since it mentions Daylight Savings, and that seems crucial for keeping the time right.
upvoted 0 times
...
Maryln
1 year ago
Hmm, batch detection is the way to go. Anything else would be like trying to herd cats with a laser pointer. Simple and effective, that's my motto!
upvoted 0 times
Colette
12 months ago
I think streaming detection would be too complex for this task. Batch detection is definitely the way to go.
upvoted 0 times
...
Clare
1 year ago
B) streaming
upvoted 0 times
...
Noble
1 year ago
I agree, batch detection is the most efficient way to scan the entire dataset for anomalies.
upvoted 0 times
...
Frederick
1 year ago
A) batch
upvoted 0 times
...
...
Jerry
1 year ago
Change point detection? Really? That sounds like it's for something completely different. I'm going to have to think this one through.
upvoted 0 times
...
Dahlia
1 year ago
I'm not sure, batch and streaming both have their pros and cons. Maybe I should re-read the question more carefully.
upvoted 0 times
Vivienne
1 year ago
B) streaming
upvoted 0 times
...
Alona
1 year ago
A) batch
upvoted 0 times
...
...
Candra
1 year ago
Batch detection seems like the obvious choice here. Scanning the entire dataset at once is what batch processing is all about.
upvoted 0 times
Jutta
1 year ago
Batch processing is definitely the best option for this situation.
upvoted 0 times
...
Leota
1 year ago
Change point detection is more about identifying shifts in data patterns, not scanning the entire dataset.
upvoted 0 times
...
Reuben
1 year ago
Streaming detection wouldn't work well for this scenario since it processes data in real-time.
upvoted 0 times
...
Vincenza
1 year ago
I agree, batch detection is the way to go for scanning the entire dataset at once.
upvoted 0 times
...
...
Noble
1 year ago
I disagree, I think batch processing would be better to scan the entire dataset at once for anomalies.
upvoted 0 times
...
Marci
1 year ago
I agree with Kimberlie, streaming would be more efficient for detecting anomalies as they occur.
upvoted 0 times
...
Kimberlie
1 year ago
I think we should use streaming for real-time detection.
upvoted 0 times
...

Save Cancel