A data analyst is using a Databricks notebook to explore a new dataset `user_logs` with columns `user_id`, `action`, `timestamp`, and `duration`. They want to see the distribution of `duration` and check for missing values in all columns. They prefer an interactive view over a static table. What should they do?

Run `dbutils.data.summarize(user_logs)`.

DatabricksCertified Machine Learning Associate

Domain 2Objective 1

Compute Summary Statistics on a Spark DataFrame Using .summary() or Dbutils Data Summaries MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 3)

Part of the Section 2: Data Processing domain, which makes up ~27% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–16 in this domain), expect 1–2 from this objective — we provide 11 practice questions to prepare you well beyond it. (estimate)

11questions here

3free pages

3concepts

Questions 11–11

11application · medium
A data analyst is using a Databricks notebook to explore a new dataset `user_logs` with columns `user_id`, `action`, `timestamp`, and `duration`. They want to see the distribution of `duration` and check for missing values in all columns. They prefer an interactive view over a static table. What should they do?
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Compute Summary Statistics on a Spark DataFrame Using .summary() or Dbutils Data Summaries MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 3)

Questions 11–11

Keep studying — Section 2: Data Processing