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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

A Data Analyst created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?

A. 30
B. Null
C. 20
D. 10

Reveal Solution Discussion 0

Correct Answer: C 🗳️

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Question #2

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

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #3

What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A. A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
B. A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.
C. A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.
D. A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #4

A Data Analyst is working with three tables:

Which query would return a list of all brokers, a count of the customers each broker has. and the total order amount of their customers (as shown below)?

Reveal Solution Discussion 0

Correct Answer: C 🗳️

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Question #5

A Data Analyst wants to use pandas code they have previously written to process a column of text and return multiple rows of parsed output for each input value. The Analyst wants to be able to join these results with other tables in a single transaction. Which type of extensibility feature should the Analyst use?