시험대비Databricks-Certified-Data-Analyst-Associate퍼펙트공부문제최신버전자료

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

Section	Weight	Objectives
Executing Queries using Databricks SQL and Databricks SQL Warehouses	20%	- ANSI SQL syntax and functions - Creating and managing views - Aggregations and grouping - Warehouse configuration and performance - Joining and combining datasets
Understanding of Databricks Data Intelligence Platform	11%	- Workspace navigation and interface - Core architecture and components - Lakehouse platform fundamentals
Importing Data	5%	- UI-based data ingestion - API and Auto Loader - S3 and cloud storage integration - Delta Sharing - Databricks Marketplace
Analyzing Queries	15%	- Liquid clustering and indexing - Execution plans and analysis - Performance optimization - Query history and auditing
Developing, Sharing, and Maintaining AI/BI Genie Spaces	12%	- Access control and sharing - Natural language query setup - Genie space setup and configuration - Maintenance and improvement
Managing Data	8%	- Discovering and registering datasets - Unity Catalog usage - Dataset versioning and management - Data cleaning and preparation
Securing Data	8%	- Secure storage and compliance - Access control and permissions - Data governance policies
Creating Dashboards and Visualizations in Databricks	16%	- Scheduling and sharing dashboards - Filtering and interactivity - Dashboard creation and layout - Visualization types and best practices
Data Modeling with Databricks SQL	5%	- Performance-oriented modeling - Schema design principles - Delta table structure

>> Databricks-Certified-Data-Analyst-Associate퍼펙트 공부문제 <<

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최신 Data Analyst Databricks-Certified-Data-Analyst-Associate 무료샘플문제 (Q74-Q79):

질문 # 74
A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.
Which of the following projects should be completed in Databricks SQL?

A. Combining two data sources into a single, comprehensive dataset
B. Testing the quality of data as it is imported from a source
C. Automating complex notebook-based workflows with multiple tasks
D. Tracking usage of feature variables for machine learning projects
E. Segmenting customers into like groups using a clustering algorithm

정답：A

설명：
Databricks SQL is a service that allows users to query data in the lakehouse using SQL and create visualizations and dashboards1. One of the common use cases for Databricks SQL is to combine data from different sources and formats into a single, comprehensive dataset that can be used for further analysis or reporting2. For example, a data analyst can use Databricks SQL to join data from a CSV file and a Parquet file, or from a Delta table and a JDBC table, and create a new table or view that contains the combined data3.
This can help simplify the data management and governance, as well as improve the data quality and consistency. References:
* Databricks SQL overview
* Databricks SQL use cases
* Joining data sources

질문 # 75
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 removing all access
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 new owner ' s account
D. Edit the Owner field in the table page by selecting the Admins group
E. Edit the Owner field in the table page by selecting All Users

정답：C

설명：
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. References:
* 1: Change table ownership
* 2: Ownerless tables
* 3: Table access control
* 4: Revoke access to a table

질문 # 76
Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

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

정답：A

설명：
Partner Connect is a feature that allows you to easily connect your Databricks workspace to Fivetran and other ingestion partners using an automated workflow. You can select a SQL warehouse or a cluster as the destination for your data replication, and the connection details are sent to Fivetran. You can then choose from over 200 data sources that Fivetran supports and start ingesting data into Delta Lake. References: Connect to Fivetran using Partner Connect, Use Databricks with Fivetran

질문 # 77
Where in the Databricks SQL workspace can a data analyst configure a refresh schedule for a query when the query is not attached to a dashboard or alert?

A. The Visualization editor
B. Data bxplorer
C. The Dashboard Editor
D. The Query Editor

정답：D

설명：
In Databricks SQL, to configure a refresh schedule for a query that is not attached to a dashboard or alert, a data analyst should use the Query Editor. Within the Query Editor, there is an option to set up scheduled executions for queries. This feature enables the query to run at specified intervals, ensuring that the results are updated regularly. By scheduling queries in this manner, analysts can automate data refreshes and maintain up-to-date query results without manual intervention.

질문 # 78
Which of the following data workloads will utilize a Gold table as its source?

A. A job that enriches data by parsing its timestamps into a human-readable format.
B. A job that cleans data by removing malformatted records.
C. A job that ingests raw data from a streaming source into the Lakehouse.
D. A job that aggregates uncleaned data to create standard summary statistics.
E. A job that queries aggregated data designed to feed into a dashboard.

정답：E

설명：
Option D is correct. Gold tables are refined, business-ready datasets used for analytics, dashboards, reporting, and other downstream consumption. A workload that queries aggregated data designed to feed a dashboard is therefore using Gold-layer data. Raw streaming ingestion belongs to Bronze, cleaning malformed records belongs to Silver, and aggregating uncleaned data is not the recommended Gold pattern. Official Databricks extract: the Gold layer "consists of aggregated data tailored for analytics and reporting" and is optimized for
"queries and dashboards."

질문 # 79
......

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참고: Pass4Test에서 Google Drive로 공유하는 무료 2026 Databricks Databricks-Certified-Data-Analyst-Associate 시험 문제집이 있습니다: https://drive.google.com/open?id=1YArHliuz-tUDA0EJ78-EeikXUJNzI5CD