Databricks Databricks Certified Data Analyst Associate Databricks Certified Data Analyst Associate Exam Online Training

Question #1

Which of the following layers of the medallion architecture is most commonly used by data analysts?

A . None of these layers are used by data analysts
B . Gold
C . All of these layers are used equally by data analysts
D . Silver
E . Bronze

Question #2

A data analyst has recently joined a new team that uses Databricks SQL, but the analyst has never used Databricks before. The analyst wants to know where in Databricks SQL they can write and execute SQL queries.

On which of the following pages can the analyst write and execute SQL queries?

A . Data page
B . Dashboards page
C . Queries page
D . Alerts page
E . SQL Editor page

Reveal Solution Hide Solution

Question #3

Which of the following describes how Databricks SQL should be used in relation to other business intelligence (BI) tools like Tableau, Power BI, and looker?

A . As an exact substitute with the same level of functionality
B . As a substitute with less functionality
C . As a complete replacement with additional functionality
D . As a complementary tool for professional-grade presentations
E . As a complementary tool for quick in-platform Bl work

Reveal Solution Hide Solution

Question #4

Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

A . Use Workflows to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with
B . Use Delta Live Tables to establish a cluster for Fivetran to interact with
C . Use Partner Connect’s automated workflow to establish a cluster for Fivetran to interact with
D . Use Partner Connect’s automated workflow to establish a SQL warehouse (formerly known as a SQL endpoint) for Fivetran to interact with
E . Use Workflows to establish a cluster for Fivetran to interact with

Reveal Solution Hide Solution

Question #5

Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.

Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

A . Business analyst
B . SQL analyst
C . Data engineer
D . Business intelligence analyst
E . Data analyst

Reveal Solution Hide Solution

Question #6

A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.

Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

A . Reduce the SQL endpoint cluster size
B . Increase the SQL endpoint cluster size
C . Turn off the Auto stop feature
D . Increase the minimum scaling value
E . Use a Serverless SQL endpoint

Reveal Solution Hide Solution

Question #7

A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every minute.

A data analyst has created a dashboard based on this gold-level data. The project stakeholders want to see the results in the dashboard updated within one minute or less of new data becoming available within the gold-level tables.

Which of the following cautions should the data analyst share prior to setting up the dashboard to

complete this task?

A . The required compute resources could be costly
B . The gold-level tables are not appropriately clean for business reporting
C . The streaming data is not an appropriate data source for a dashboard
D . The streaming cluster is not fault tolerant
E . The dashboard cannot be refreshed that quickly

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

A Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables every minute requires a high level of compute resources to handle the frequent data ingestion, processing, and writing. This could result in a significant cost for the organization, especially if the data volume and velocity are large. Therefore, the data analyst should share this caution with the project stakeholders before setting up the dashboard and evaluate the trade-offs between the desired refresh rate and the available budget. The other options are not valid cautions because:

B) The gold-level tables are assumed to be appropriately clean for business reporting, as they are the final output of the data engineering pipeline. If the data quality is not satisfactory, the issue should be addressed at the source or silver level, not at the gold level.

C) The streaming data is an appropriate data source for a dashboard, as it can provide near real-time insights and analytics for the business users. Structured Streaming supports various sources and sinks for streaming data, including Delta Lake, which can enable both batch and streaming queries on the same data.

D) The streaming cluster is fault tolerant, as Structured Streaming provides end-to-end exactly-once fault-tolerance guarantees through checkpointing and write-ahead logs. If a query fails, it can be restarted from the last checkpoint and resume processing.

E) The dashboard can be refreshed within one minute or less of new data becoming available in the gold-level tables, as Structured Streaming can trigger micro-batches as fast as possible (every few seconds) and update the results incrementally. However, this may not be necessary or optimal for the business use case, as it could cause frequent changes in the dashboard and consume more resources.

Reference: Streaming on Databricks, Monitoring Structured Streaming queries on Databricks, A look at the new Structured Streaming UI in Apache Spark 3.0, Run your first Structured Streaming workload

Question #8

Which of the following approaches can be used to ingest data directly from cloud-based object storage?

A . Create an external table while specifying the DBFS storage path to FROM
B . Create an external table while specifying the DBFS storage path to PATH
C . It is not possible to directly ingest data from cloud-based object storage
D . Create an external table while specifying the object storage path to FROM
E . Create an external table while specifying the object storage path to LOCATION

Reveal Solution Hide Solution

Question #9

A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.

Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

A . Separate endpoints for each section
B . Separate queries for each section
C . Markdown-based text boxes
D . Direct text written into the dashboard in editing mode
E . Separate color palettes for each section

Reveal Solution Hide Solution

Question #10

A data analyst needs to use the Databricks Lakehouse Platform to quickly create SQL queries and data visualizations. It is a requirement that the compute resources in the platform can be made serverless, and it is expected that data visualizations can be placed within a dashboard.

Which of the following Databricks Lakehouse Platform services/capabilities meets all of these requirements?

A . Delta Lake
B . Databricks Notebooks
C . Tableau
D . Databricks Machine Learning
E . Databricks SQL

Reveal Solution Hide Solution

Databricks Databricks Certified Data Analyst Associate Databricks Certified Data Analyst Associate Exam Online Training