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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Time-series analysis
  • 2. Aggregate functions
  • 3. Snowflake-specific analytical features
Topic 2: Data Presentation and Data Visualization28%-29%- Create dashboards
  • 1. Snowsight dashboards
  • 2. Present analytical results
- Integrate with BI tools
  • 1. Other partner visualization tools
  • 2. Power BI integration
  • 3. Tableau integration
Topic 3: Data Ingestion and Data Preparation15%-20%- Use best practice considerations relating to data integrity structures
  • 1. Define primary keys for tables
  • 2. Perform table joins between parent/child tables
  • 3. Implement constraints
- Use a collection system to retrieve data
  • 1. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
  • 2. Synthetic Data Generation
  • 3. Retrieve data from unstructured sources
  • 4. Retrieve data from structured sources (CSV)
- Prepare data and load into Snowflake
  • 1. Load data from external/internal stages into a table
  • 2. Load files using Snowsight
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Find external data sets that correlate with available data
  • 2. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
  • 3. Create tables and views
- Implement data processing solutions
  • 1. Automate and implement data pipelines (scheduling)
  • 2. Use logging and monitoring solutions (auditing, data lineage)
  • 3. Respond to processing failures
  • 4. Cleanse, conform, and enrich data
- Perform data discovery to identify what is needed from available datasets
  • 1. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 2. Identify elements required for business goals using BI reports or SQL analysis
  • 3. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 4. Query tables to assess data elements and statistics maintained by Snowflake
  • 5. Determine the level of data granularity required
Topic 4: Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Star schema design
  • 2. Data vault models
  • 3. Snowflake schema design
- Transform data using SQL
  • 1. QUALIFY clauses
  • 2. Common Table Expressions (CTEs)
  • 3. PIVOT/UNPIVOT operations
  • 4. Window functions

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

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


2. A Data Analyst needs to create a custom filter called state in a Snowflake dashboard using a SQL query.
Which query will include this custom filter?

A) select avg(total_income), state from taxpayer_wages group by state having state = :state;
B) select avg(total_income), state from taxpayer_wages group by state having state = 'state';
C) select avg(total_income), state from taxpayer_wages group by state having state = @state;
D) select avg(total_income), state from taxpayer_wages group by state having state = state;


3. Which aggregate functions can be used to provide values for a given bucket in Snowsight charts? (Select THREE).

A) HLL
B) Mode
C) Any Value
D) Average
E) Standard Deviation
F) Max


4. 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) 20
B) 10
C) Null
D) 30


5. When building a Snowsight dashboard that will allow users to filter data within a worksheet, which Snowflake system filters should be used?

A) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a SELECT clause.
B) Include the :daterange system filter in a WHERE clause, and include the :datebucket system filter in a GROUP BY clause.
C) Include the :daterange system filter in a SELECT clause, and include the :datebucket system filter in a GROUP BY clause.
D) Include the :datebucket system filter in a WHERE clause, and include the :daterange system filter in a GROUP BY clause.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: C,D,F
Question # 4
Answer: A
Question # 5
Answer: B

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