An analyst is stuck on a complex data issue and believes a colleague in another department may have relevant expertise. What is the most effective way to collaborate?

Schedule a meeting to discuss the issue

Ignore the issue and hope it resolves itself

Post the question on a public social media site

Send a mass email to all employees

An analyst is getting a 'MemoryError' when trying to load a large CSV file into a pandas DataFrame in Python. The analyst needs to complete the analysis. What is the most effective way to use online resources to find a solution?

Email the pandas development team directly for a personalized solution

Search for 'pandas read_csv MemoryError' on a popular programming Q&A site to find common solutions like chunking or specifying data types

Look up the definition of 'MemoryError' in a general dictionary

Post the error message on a general social media site and wait for a response

A data science team is troubleshooting why a machine learning model's performance has degraded in production. The data engineer suspects a data drift issue, while the data scientist believes the model needs retraining. The team is spending significant time debating the cause. What is the most effective collaborative approach to resolve this?

Search online for generic solutions to model degradation and apply the most popular one

Have the data engineer and data scientist jointly design a set of experiments to test both hypotheses using the same evaluation metrics

Let the data scientist decide, as they are the owner of the model

Immediately retrain the model, as this is the fastest way to improve performance

CompTIAData+

Domain 3Objective 3

Troubleshoot Analysis Issues DA0-001 Practice Questions (Page 4)

Part of the Data analysis domain, which accounts for 24% of the DA0-001 exam. CompTIA does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–14 in this domain), expect 3–5 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)

32questions here

7free pages

7concepts

24%of the exam

Questions 16–20

16foundation · easy
An analyst is stuck on a complex data issue and believes a colleague in another department may have relevant expertise. What is the most effective way to collaborate?
Select an answer first
17foundation · easy
An analyst suspects that a data quality issue is causing unexpected spikes in a time series. Which visualization would best help the analyst investigate this?
Select an answer first
18application · medium
An analyst is getting a 'MemoryError' when trying to load a large CSV file into a pandas DataFrame in Python. The analyst needs to complete the analysis. What is the most effective way to use online resources to find a solution?
Select an answer first
19foundation · easy
An analyst is troubleshooting a complex data transformation issue and wants to see if others have encountered the same problem. Which online resource is most appropriate to search?
Select an answer first
20expert · hard
A data science team is troubleshooting why a machine learning model's performance has degraded in production. The data engineer suspects a data drift issue, while the data scientist believes the model needs retraining. The team is spending significant time debating the cause. What is the most effective collaborative approach to resolve this?
Select an answer first

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Troubleshoot Analysis Issues DA0-001 Practice Questions (Page 4)

Questions 16–20

An analyst is stuck on a complex data issue and believes a colleague in another department may have relevant expertise. What is the most effective way to collaborate?

An analyst suspects that a data quality issue is causing unexpected spikes in a time series. Which visualization would best help the analyst investigate this?

An analyst is getting a 'MemoryError' when trying to load a large CSV file into a pandas DataFrame in Python. The analyst needs to complete the analysis. What is the most effective way to use online resources to find a solution?

An analyst is troubleshooting a complex data transformation issue and wants to see if others have encountered the same problem. Which online resource is most appropriate to search?

Keep studying — Data analysis