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Snowflake DAA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Transformation and Data Modeling	22%-30%	- Design data models 1. Data vault models 2. Snowflake schema design 3. Star schema design - Transform data using SQL 1. Common Table Expressions (CTEs) 2. Window functions 3. QUALIFY clauses 4. PIVOT/UNPIVOT operations
Topic 2: Data Analysis	30%-32%	- Perform advanced analytics using SQL 1. Snowflake-specific analytical features 2. Aggregate functions 3. Time-series analysis
Topic 3: Data Ingestion and Data Preparation	15%-20%	- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace 1. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings) 2. Create tables and views 3. Find external data sets that correlate with available data - Prepare data and load into Snowflake 1. Load files using Snowsight 2. Load data from external/internal stages into a table - Use a collection system to retrieve data 1. Synthetic Data Generation 2. Retrieve data from unstructured sources 3. Retrieve data from structured sources (CSV) 4. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML) - Implement data processing solutions 1. Automate and implement data pipelines (scheduling) 2. Respond to processing failures 3. Cleanse, conform, and enrich data 4. Use logging and monitoring solutions (auditing, data lineage) - Use best practice considerations relating to data integrity structures 1. Perform table joins between parent/child tables 2. Implement constraints 3. Define primary keys for tables - Perform data discovery to identify what is needed from available datasets 1. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE) 2. Evaluate required transformations (table joins, set operations, ASOF JOINS) 3. Determine the level of data granularity required 4. Query tables to assess data elements and statistics maintained by Snowflake 5. Identify elements required for business goals using BI reports or SQL analysis
Topic 4: Data Presentation and Data Visualization	28%-29%	- Integrate with BI tools 1. Power BI integration 2. Tableau integration 3. Other partner visualization tools - Create dashboards 1. Present analytical results 2. Snowsight dashboards

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question 1

A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A. SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
B. SELECT LAST_QUERY_ID(-1);
C. SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
D. DESC RESULT LAST_QUERY_ID();

Question 2

A Data Analyst has been analyzing customer data in several worksheets. Each worksheet contains a complex query that provides clean and prepared data for visualizations. The Analyst has also created a Customer Overview dashboard in Snowsight. How should the Analyst add the worksheets in the Customer Analysis database to the dashboard, using the LEAST amount of operational overhead?

A. Query the QUERY_HISTORY view to find those queries, then add the queries into the dashboard.
B. Open each worksheet, copy the query, then paste the query into the dashboard.
C. Copy and paste the worksheets into the dashboard.
D. Move the worksheets into the dashboard.

Question 3

A Data Analyst for a ride-sharing company needs to assess the relationship between the number of active drivers in a city, and the average waiting time for passengers. Which query will determine if an increase in the number of active drivers is associated with a decrease in the average waiting time?

A. SELECT CITY, SUM(ACTIVE_DRIVERS), VARIANCE(AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
B. SELECT CITY, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
C. SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
D. SELECT CITY, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;

Question 4

What functionalities are available when a Snowflake worksheet is shared with other users? (Select TWO).

A. Whenever a user with permissions runs a worksheet, the existing version history of the worksheet will be overwritten.
B. Collaborators can share the worksheet across Snowflake accounts.
C. Users with edit permissions can view past versions of the worksheet.
D. If the worksheet is being edited, the collaborators will be able to see these edits in real-time.
E. If multiple users edit and run a shared worksheet at the same time, each run of the worksheet will create a new version.

Question 5

What potential problem can be identified in the Query profile below?