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

Topic	Details
Topic 1	Data Management: The topic describes Delta Lake as a tool for managing data files, Delta Lake manages table metadata, benefits of Delta Lake within the Lakehouse, tables on Databricks, a table owner’s responsibilities, and the persistence of data. It also identifies management of a table, usage of Data Explorer by a table owner, and organization-specific considerations of PII data. Lastly, the topic it explains how the LOCATION keyword changes, usage of Data Explorer to secure data.
Topic 2	SQL in the Lakehouse: It identifies a query that retrieves data from the database, the output of a SELECT query, a benefit of having ANSI SQL, access, and clean silver-level data. It also compares and contrasts MERGE INTO, INSERT TABLE, and COPY INTO. Lastly, this topic focuses on creating and applying UDFs in common scaling scenarios.
Topic 3	Data Visualization and Dashboarding: Sub-topics of this topic are about of describing how notifications are sent, how to configure and troubleshoot a basic alert, how to configure a refresh schedule, the pros and cons of sharing dashboards, how query parameters change the output, and how to change the colors of all of the visualizations. It also discusses customized data visualizations, visualization formatting, Query Based Dropdown List, and the method for sharing a dashboard.
Topic 4	Databricks SQL: This topic discusses key and side audiences, users, Databricks SQL benefits, complementing a basic Databricks SQL query, schema browser, Databricks SQL dashboards, and the purpose of Databricks SQL endpoints warehouses. Furthermore, the delves into Serverless Databricks SQL endpoint warehouses, trade-off between cluster size and cost for Databricks SQL endpoints warehouses, and Partner Connect. Lastly it discusses small-file upload, connecting Databricks SQL to visualization tools, the medallion architecture, the gold layer, and the benefits of working with streaming data.
Topic 5	Analytics applications: It describes key moments of statistical distributions, data enhancement, and the blending of data between two source applications. Moroever, the topic also explains last-mile ETL, a scenario in which data blending would be beneficial, key statistical measures, descriptive statistics, and discrete and continuous statistics.

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
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. There is no default. The user must choose a visualization type.
B. Line Chart
C. Violin Chart
D. IBar Chart
E. Histogram

Answer: D

Explanation:
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. Reference: Visualization in Databricks SQL, Visualization types

NEW QUESTION # 15
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 color palettes for each section
B. Separate endpoints for each section
C. Separate queries for each section
D. Direct text written into the dashboard in editing mode
E. Markdown-based text boxes

Answer: E

Explanation:
Markdown-based text boxes are useful as labels on a dashboard. They allow the data analyst to add text to a dashboard using the %md magic command in a notebook cell and then select the dashboard icon in the cell actions menu. The text can be formatted using markdown syntax and can include headings, lists, links, images, and more. The text boxes can be resized and moved around on the dashboard using the float layout option. References: Dashboards in notebooks, How to add text to a dashboard in Databricks

NEW QUESTION # 16
Which of the following is stored in the Databricks customer's cloud account?

A. Databricks web application
B. Repos
C. Cluster management metadata
D. Notebooks
E. Data

Answer: E

Explanation:
Option D is correct. Customer data is stored in the customer's cloud account, such as object storage controlled by the customer. Databricks control-plane services manage platform components, while the customer's data resides in the customer-controlled storage layer. Official Databricks extract: "Databricks doesn't store your primary customer data. That lives in Amazon S3 or other systems you control."

NEW QUESTION # 17
A data analyst has been asked to use the below table sales_table to rank products within region by the sales.
Input table:
region product sales
WEST A 1880.59
EAST A 2045.99
EAST B 4583.23
WEST B 3391.19
The result of the query should look like this:
region product rank
EAST B 1
EAST A 2
WEST B 1
WEST A 2
Which query will accomplish this task?

A. SELECT region, product, RANK() OVER ( PARTITION BY product ORDER BY sales DESC ) AS rankFROM sales_table;
B. SELECT region, product, RANK() OVER ( PARTITION BY region ORDER BY sales DESC ) AS rankFROM sales_table;
C. Option C
D. Option D
E. Option A
F. SELECT region, product, RANK() OVER ( ORDER BY sales DESC ) AS rankFROM sales_table;
G. SELECT region, product, RANK() OVER ( PARTITION BY region ) AS rankFROM sales_table;
H. Option B

Answer: B

Explanation:
Option D is correct. The phrase "rank products within region by the sales" means each region must be ranked separately, so the window must use PARTITION BY region. The ranking must be based on highest sales first, so the window must use ORDER BY sales DESC. Option A ranks across all regions together. Option B ranks within product, not within region. Option C does not specify the sales ordering. Official Databricks extract:
rank() "returns the rank of a value compared to all values in the partition," and its OVER clause must include ORDER BY.

NEW QUESTION # 18
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 All Users
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 selecting the Admins group

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 # 19
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The Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate) certification is a valuable credential that every Databricks professional should earn it. The Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate) certification exam offers a great opportunity for beginners and experienced professionals to demonstrate their expertise. With the Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate) certification exam everyone can upgrade their skills and knowledge. There are other several benefits that the Databricks Databricks-Certified-Data-Analyst-Associate exam holders can achieve after the success of the Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate) certification exam.

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