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Snowflake DAA-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis |
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Semi-structured data processing - Complex joins, subqueries, window functions - Query optimization and troubleshooting |
| Prepare and Load Data | 15–20% | - External tables and data validation - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro |
| Prepare and Present Data | 10–15% | - Snowsight dashboards and sharing results - Data visualization and reporting - Align outputs with business requirements |
| Perform Predictive Analysis | 5–10% | - Forecasting and predictive modeling - Using Snowflake ML and built-in analytics |
| Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
| Perform Simple Data Transformations for Analysis | 15–20% | - Handling NULLs and structuring datasets - Data cleansing, standardization, type conversion - Views, materialized views, CTEs |
Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:
1. A Data Analyst is working with a table that has 1 record per day, with sales information. Which window function would calculate a 7-day moving average of sales, where SALES_DATE represents the date column?
A) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)
B) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
C) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 PRECEDING AND
CURRENT ROW)
D) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
2. A Data Analyst creates a dashboard showing the total credit consumption for each virtual warehouse as follows:
Why is the query failing?
A) INFORMATION_SCHEMA should be used instead of ACCOUNT_USAGE.
B) DB1 must be authorized to have SELECT access to ACCOUNT_USAGE.
C) The current database context must be changed to SNOWFLAKE.
D) The query must be executed by a user with the ACCOUNTADMIN role.
3. What are the PRIMARY reasons for using integrity constraints on Snowflake tables? (Select TWO).
A) To enable team members to see how tables relate to one another.
B) To allow for clustering on the primary and foreign keys by specifying them as clustering keys.
C) To enforce that a value in a foreign key must match the value of a primary or unique key in a parent table.
D) To enforce that records with a UNIQUE column must have all distinct values in that column.
E) To enforce that records with a NOT NULL column must have values in that column.
4. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?
A) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
B) Create a view in the ADDRESS_DATA database.
C) Create a view in the GLOBAL_DWH database.
D) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.
5. Which Snowflake feature or object can be used to dynamically create and execute SQL statements?
A) System-defined functions
B) User-Defined Functions (UDFs)
C) Tasks
D) Stored procedures
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,E | Question # 4 Answer: C | Question # 5 Answer: D |
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