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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Understanding of Databricks Data Intelligence Platform	11%	- Catalog and Governance 1. Views and Certified Tables 2. Catalogs and Schemas 3. Managed and External Tables 4. Data Lineage - Platform Components 1. Lakeflow Jobs 2. Databricks SQL 3. Delta Lake 4. Mosaic AI 5. Unity Catalog
Topic 2: Data Modeling with Databricks SQL	5%	- Modeling Concepts 1. Data Organization 2. Fact and Dimension Tables 3. Views and Relationships
Topic 3: Securing Data	8%	- Security and Access Control 1. Unity Catalog Security 2. Data Access Policies 3. Permissions and Roles
Topic 4: Importing Data	5%	- Data Import 1. Creating Tables from Imported Data 2. Uploading Files 3. Loading CSV and JSON Data
Topic 5: Developing AI/BI Genie Spaces	12%	- AI and BI Features 1. AI/BI Genie 2. Natural Language Queries 3. Workspace Configuration
Topic 6: Analyzing Queries	15%	- Query Analysis 1. Performance Tuning 2. Reading Query Plans 3. Monitoring Query Execution
Topic 7: Managing Data	8%	- Data Management 1. Tagging and Lineage 2. Cleaning Data with SQL 3. Discovering Data Assets 4. Handling Missing and Invalid Data
Topic 8: Creating Dashboards and Visualizations	16%	- Visualization 1. Dashboards 2. Charts and Graphs 3. Sharing and Publishing 4. Alerts and Filters
Topic 9: Executing Queries Using Databricks SQL and SQL Warehouses	20%	- SQL Querying 1. Filtering and Aggregation 2. Writing SQL Queries 3. Joins and Subqueries 4. Query Optimization 5. SQL Warehouses

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Databricks Certified Data Analyst Associate Exam Databricks-Certified-Data-Analyst-Associate Prüfungsfragen mit Lösungen (Q10-Q15):

10. Frage
A data analyst creates a Databricks SQL Query where the result set has the following schema:
region STRING
number_of_customer INT
When the analyst clicks on the " Add visualization " button on the SQL Editor page, which of the following types of visualizations will be selected by default?

A. IBar Chart
B. There is no default. The user must choose a visualization type.
C. Line Chart
D. Histogram
E. Violin Chart

Antwort: A

Begründung:
According to the Databricks SQL documentation, when a data analyst clicks on the "Add visualization" button on the SQL Editor page, the default visualization type is Bar Chart. This is because the result set has two columns: one of type STRING and one of type INT. The Bar Chart visualization automatically assigns the STRING column to the X-axis and the INT column to the Y-axis. The Bar Chart visualization is suitable for showing the distribution of a numeric variable across different categories. References: Visualization in Databricks SQL, Visualization types

11. Frage
In a healthcare provider organization using Delta Lake to store electronic health records, a data analyst needs to analyze a snapshot of the patient_records table from two weeks ago before some recent data corrections were applied.
What approach should the Data Engineer take to allow the analyst to query that specific prior version?

A. Truncate the table to remove all data, then reload the data from two weeks ago into the truncated table for the analyst to query.
B. Identify the version number corresponding to two weeks ago from the Delta transaction log, share that version number with the analyst to query using VERSION AS OF syntax, or export that version to a new Delta table for the analyst to query.
C. Restore the table to the version from two weeks ago using the RESTORE command, and have the analyst query the restored table.
D. Use the VACUUM command to remove all versions of the table older than two weeks, then the analyst can query the remaining version.

Antwort: B

Begründung:
Option B is correct. Delta Lake supports time travel, which allows users to query previous table versions by timestamp or version number. The version can be obtained from table history and queried using VERSION AS OF. Restoring the table would change the current table state for everyone, which is not necessary when the analyst only needs to analyze a historical snapshot. VACUUM would remove old data files and can prevent time travel. Official Databricks extract: time travel supports "querying previous table versions," and the syntax includes SELECT * FROM people10m VERSION AS OF 123. Databricks also states that the version can be obtained from DESCRIBE HISTORY. Note: the two-week snapshot is queryable only if the required log and data files are still retained.

12. Frage
Delta Lake stores table data as a series of data files, but it also stores a lot of other information.
Which of the following is stored alongside data files when using Delta Lake?

A. Owner account information
B. None of these
C. Table metadata
D. Table metadata, data summary visualizations, and owner account information
E. Data summary visualizations

Antwort: C

Begründung:
Delta Lake is a storage layer that enhances data lakes with features like ACID transactions, schema enforcement, and time travel. While it stores table data as Parquet files, Delta Lake also keeps a transaction log (stored in the _delta_log directory) that contains detailed table metadata.
This metadata includes:
* Table schema
* Partitioning information
* Data file paths
* Transactional operations like inserts, updates, and deletes
* Commit history and version control
This metadata is critical for supporting Delta Lake's advanced capabilities such as time travel and efficient query execution. Delta Lake does not store data summary visualizations or owner account information directly alongside the data files.
Reference: Delta Lake Table Features - Databricks Documentation

13. Frage
Which statement about visualizations is true?

A. There is no difference between the bar chart and a histogram in Databricks SQL.
B. Different visualizations can be used to tell different stories about the data.
C. Line charts are the preferred visualization type for categorical data.
D. All visualizations must use the same data in order to be included in the same Databricks SQL dashboard.

Antwort: B

Begründung:
Option C is correct. Different visualization types are used to communicate different insights. For example, a bar chart may compare categories, a line chart may show change over time, and a table may show detailed records. Databricks dashboard documentation confirms that dashboard visualizations can select datasets, choose visualization types, and define x-axis and y-axis fields. The official exam guide also includes identifying the effective visualization type to communicate insights clearly. Option A is false because dashboard visualizations can be configured independently. Option B is false because categorical data is commonly shown with bar charts, not line charts. Option D is false because bar charts and histograms serve different analytical purposes. References: Databricks dashboard visualization documentation and Data Analyst Associate Exam Guide.

14. Frage
Which statement describes descriptive statistics?

A. A branch of statistics that uses quantitative variables that must take on a finite or countably infinite set of values.
B. A branch of statistics that uses summary statistics to quantitatively describe and summarize data.
C. A branch of statistics that uses summary statistics to categorically describe and summarize data.
D. A branch of statistics that uses a variety of data analysis techniques to infer properties of an underlying distribution of probability.

Antwort: B

15. Frage
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