A data provider wants to share a curated Delta table with a partner company that uses a different data platform. The partner does not have a Databricks account. The provider needs to grant the partner read-only access to the data without copying it to a separate system. What should the provider do?

Grant the partner IAM access to the underlying S3 bucket.

Publish the table to the Databricks Marketplace for the partner to discover.

Create a Delta Sharing share and send the partner a sharing credential to access the data via the open Delta Sharing protocol.

Export the Delta table to a CSV file and email it to the partner.

A data analyst wants to enrich their internal data with a publicly available demographic dataset. They want to browse available datasets, review their quality, and import one directly into their Databricks workspace without writing custom ingestion code. What should they use?

Auto Loader to ingest the dataset from a public S3 bucket.

Delta Sharing to request access from the dataset provider.

A Python notebook to scrape the dataset from a website.

Databricks Marketplace to discover and import the dataset.

A non-profit organization wants to share its anonymized survey data with researchers worldwide. They want to make the data easily discoverable and allow researchers to access it without needing to contact the organization directly. What should they do?

Create a Delta Sharing share and email the credentials to known researchers.

Upload the data to a public S3 bucket and share the link.

Use Auto Loader to make the data available.

Publish the dataset to the Databricks Marketplace.

A developer wants to ingest data from an external REST API into a Databricks table on a schedule. Which approach is most appropriate?

Use Auto Loader to monitor the external API endpoint

Use Delta Sharing to connect to the API

Mount the API endpoint as a DBFS path

Write a Python script that calls the API and writes results to a table, then schedule it with a Databricks job

A team needs to read a large Parquet dataset from an S3 bucket for a one-time exploratory analysis. They do not expect to access this data frequently in the future. They want the simplest setup with minimal ongoing configuration. What should they do?

Mount the S3 bucket to DBFS for easier path access.

Use direct S3 access with the appropriate IAM role or access keys.

Use Auto Loader to ingest the data into a Delta table.

Copy the data to a local cluster's disk before reading.

DatabricksCertified Data Analyst Associate

Domain 3Objective 1

Explain the Approaches for Bringing Data into Databricks, Covering Ingestion from S3, Data Sharing with External Systems via Delta Sharing, API-driven Data Intake, the Auto Loader Feature, and Marketplace. DATA-ANALYST-ASSOCIATE Practice Questions (Page 2)

Part of the Section 3: Importing Data domain, which makes up ~3% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~1–2 in this domain), expect 1–1 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)

20questions here

4free pages

5concepts

Questions 6–10

6application · medium
A data provider wants to share a curated Delta table with a partner company that uses a different data platform. The partner does not have a Databricks account. The provider needs to grant the partner read-only access to the data without copying it to a separate system. What should the provider do?
Select an answer first
7application · medium
A data analyst wants to enrich their internal data with a publicly available demographic dataset. They want to browse available datasets, review their quality, and import one directly into their Databricks workspace without writing custom ingestion code. What should they use?
Select an answer first
8application · medium
A non-profit organization wants to share its anonymized survey data with researchers worldwide. They want to make the data easily discoverable and allow researchers to access it without needing to contact the organization directly. What should they do?
Select an answer first
9foundation · easy
A developer wants to ingest data from an external REST API into a Databricks table on a schedule. Which approach is most appropriate?
Select an answer first
10application · medium
A team needs to read a large Parquet dataset from an S3 bucket for a one-time exploratory analysis. They do not expect to access this data frequently in the future. They want the simplest setup with minimal ongoing configuration. What should they do?
Select an answer first

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