Discuss Databricks Databricks Certified Data Engineer Professional Exam Topic 5 Question 10

Spill occurs as a result of executing various wide transformations. However, diagnosing spill requires one to proactively look for key indicators.

Where in the Spark UI are two of the primary indicators that a partition is spilling to disk?

AStage's detail screen and Executor's files

BStage's detail screen and Query's detail screen

CDriver's and Executor's log files

DExecutor's detail screen and Executor's log files

Suggested Answer: B

In Apache Spark's UI, indicators of data spilling to disk during the execution of wide transformations can be found in the Stage's detail screen and the Query's detail screen. These screens provide detailed metrics about each stage of a Spark job, including information about memory usage and spill data. If a task is spilling data to disk, it indicates that the data being processed exceeds the available memory, causing Spark to spill data to disk to free up memory. This is an important performance metric as excessive spill can significantly slow down the processing.

Apache Spark Monitoring and Instrumentation: Spark Monitoring Guide

Spark UI Explained: Spark UI Documentation

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15 comments · newest first

Cyril 10 months ago

Yup, Stage's detail screen is a must for diagnosing spills!

Blondell 11 months ago

Wait, are we sure about the Executor's log files? Seems off.

Sherly 11 months ago

Agree, those are the main spots to check for spills.

Gayla 11 months ago

I thought it was the Query's detail screen instead.

Tori 11 months ago

It's definitely the Stage's detail screen and Executor's files!

Tamar 12 months ago

I have a vague memory of the Executor's detail screen being relevant, but I'm not confident about the logs being the other indicator.

Elke 12 months ago

I thought the Query's detail screen was important too, but I can't remember if it specifically shows spill information.

Tamra 12 months ago

I remember practicing a question similar to this, and I feel like the Executor's files might be involved, but I can't recall exactly.

Yvonne 1 year ago

I think the Stage's detail screen is definitely one of the places to check for spill indicators, but I'm not sure about the second one.

Dorinda 1 year ago

I'm a little confused by this question. The wording about "proactively looking for key indicators" makes me wonder if the answer is not something directly in the Spark UI, but rather in the log files. I'm leaning towards option C, but I'm not completely sure.

Kattie 1 year ago

Okay, let me think this through. The question is asking about where in the Spark UI we can find the primary indicators of spill. I'm pretty confident the answer is either B or D, since the Spark UI would likely have this information in the stage and executor details.

Brandon 1 year ago

This question seems straightforward. I think the key indicators of spill would be in the Stage's detail screen and the Executor's files, so I'll go with option A.

Cassie 1 year ago

Hmm, I'm a bit unsure about this one. The question mentions "proactively looking for key indicators," so I'm not sure if the Executor's files would be the right place to look. Maybe the Stage's detail screen and the Query's detail screen would be better options.

Cammy 1 year ago

This seems like a tricky question. I'll need to think carefully about the different factors that might lead an organization to implement an innovation even if it doesn't meet the ROI requirement.

Suzi 1 year ago

The Architecture Contract sounds like it could be the right answer, but I'm not entirely sure. I'll have to think this through carefully.

Databricks Certified Data Engineer Professional Exam - Topic 5 Question 10 Discussion