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| Section | Objectives |
|---|
| Data Visualization and Dashboards | - Creating dashboards in Databricks SQL
- 1. Visualizing query results
- 2. Dashboard configuration and sharing
|
| Data Governance and Security | - Access control and permissions
- 1. Unity Catalog basics
- 2. Row-level and column-level security concepts
|
| Data Management in Lakehouse | - Delta Lake fundamentals
- 1. ACID transactions and versioning
- 2. Table optimization concepts
- Data ingestion and preparation
- 1. Batch and streaming ingestion concepts
|
| Databricks SQL and SQL Analytics | - Querying data using SQL in Databricks
- 1. SELECT statements and filtering data
- 2. Joins and aggregations
- Data transformation and analysis
- 1. Common table expressions (CTEs)
- 2. Window functions
|
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Databricks Certified Data Analyst Associate Exam Sample Questions (Q115-Q120):
NEW QUESTION # 115
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. SQL Editor page
- B. Alerts page
- C. Queries page
- D. Dashboards page
- E. Data page
Answer: A
Explanation:
The SQL Editor page is where the analyst can write and execute SQL queries in Databricks SQL. The SQL Editor page has a query pane where the analyst can type or paste SQL statements, and a results pane where the analyst can view the query results in a table or a chart. The analyst can also browse data objects, edit multiple queries, execute a single query or multiple queries, terminate a query, save a query, download a query result, and more from the SQL Editor page. Reference: Create a query in SQL editor
NEW QUESTION # 116
What is a benefit of using Databricks SQL for business intelligence (Bl) analytics projects instead of using third-party Bl tools?
- A. Simultaneous multi-user support
- B. Advanced dashboarding capabilities
- C. Computations, data, and analytical tools on the same platform
- D. Automated alerting systems
Answer: C
Explanation:
Databricks SQL offers a unified platform where computations, data storage, and analytical tools coexist seamlessly. This integration allows business intelligence (BI) analytics projects to be executed more efficiently, as users can perform data processing and analysis without the need to transfer data between disparate systems. By consolidating these components, Databricks SQL streamlines workflows, reduces latency, and enhances data governance. While third-party BI tools may offer advanced dashboarding capabilities, simultaneous multi-user support, and automated alerting systems, they often require integration with separate data processing platforms, which can introduce complexity and potential inefficiencies.
Reference: Databricks AI & BI: Transform Data into Actionable Insights
NEW QUESTION # 117
A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?
- A. Delta Live Tables
- B. Data Explorer
- C. Auto Loader
- D. Delta Lake
- E. Unity Catalog
Answer: A
Explanation:
Option D is correct. Delta Live Tables / Lakeflow Declarative Pipelines supports expectations, which are rules used to validate data as it flows through ETL pipelines. These expectations provide automated visibility into data quality and can be configured to fail updates or drop invalid records. Unity Catalog governs data, Data Explorer/Catalog Explorer helps browse data, Delta Lake provides reliable table storage, and Auto Loader ingests files incrementally, but the pipeline-level automated data quality monitoring tool is Delta Live Tables expectations. Official Databricks extract: expectations "validate data as it flows through ETL pipelines" and provide "data quality metrics."
NEW QUESTION # 118
A database was created in Databricks SQL using the following statement:
CREATE SCHEMA accounting LOCATION ' dbfs:/accounting/data ' ;
Where will data for this database be stored?
- A. dbfs:/accounting/data/accounting.db
- B. dbfs:/accounting/data
- C. dbfs:/accounting/data.db
- D. dbfs:/user/hive/warehouse/accounting.db
Answer: B
Explanation:
Option B is correct. The statement explicitly sets the schema/database location to dbfs:/accounting/data. In Databricks SQL, CREATE SCHEMA supports a LOCATION schema_directory, and the documentation explains that the schema directory is the filesystem path where the schema is created. Because the user supplied LOCATION ' dbfs:/accounting/data ' , Databricks uses that path instead of the default warehouse directory. Option D would apply only when no custom location is supplied. References: Databricks CREATE SCHEMA documentation.
NEW QUESTION # 119
A data analyst created and is the owner of the managed table my_ table. They now want to change ownership of the table to a single other user using Data Explorer.
Which of the following approaches can the analyst use to complete the task?
- A. Edit the Owner field in the table page by selecting All Users
- B. Edit the Owner field in the table page by removing their own account
- C. Edit the Owner field in the table page by selecting the Admins group
- D. Edit the Owner field in the table page by selecting the new owner's account
- E. Edit the Owner field in the table page by removing all access
Answer: D
Explanation:
The Owner field in the table page shows the current owner of the table and allows the owner to change it to another user or group. To change the ownership of the table, the owner can click on the Owner field and select the new owner from the drop-down list. This will transfer the ownership of the table to the selected user or group and remove the previous owner from the list of table access control entries1. The other options are incorrect because:
A) Removing the owner's account from the Owner field will not change the ownership of the table, but will make the table ownerless2.
B) Selecting All Users from the Owner field will not change the ownership of the table, but will grant all users access to the table3.
D) Selecting the Admins group from the Owner field will not change the ownership of the table, but will grant the Admins group access to the table3.
E) Removing all access from the Owner field will not change the ownership of the table, but will revoke all access to the table4. Reference:
1: Change table ownership
2: Ownerless tables
3: Table access control
4: Revoke access to a table
NEW QUESTION # 120
......
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