Updated: Aug 03, 2026
No. of Questions: 67 Questions & Answers with Testing Engine
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| Certification Vendor: | Snowflake |
| Exam Name: | SnowPro® Advanced: Data Analyst Certification Exam |
| Exam Number: | DAA-C01 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 115 minutes |
| Available Languages: | English |
| Exam Format: | Multiple choice, Multiple select, Scenario-based items |
| Passing Score: | 750 (scaled score 0–1000) |
| Related Certifications: | SnowPro Core Certification |
| Real Exam Qty: | 65 |
| Exam Price: | $375 USD |
| Recommended Training: | SnowPro Advanced: Data Analyst Study Guide Snowflake Data Analyst Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Snowflake DAA-C01 Sample Questions |
| Exam Way: | Online proctored (OnVUE) or onsite at Pearson VUE test centers |
| Pre Condition: | Active SnowPro Core Certification; 1+ year hands-on experience as Data Analyst in Snowflake environment; proficiency in advanced SQL |
| Official Syllabus URL: | https://learn.snowflake.com/en/certifications/snowpro-advanced-dataanalyst/ |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare and Present Data | 10–15% | - Align outputs with business requirements - Snowsight dashboards and sharing results - Data visualization and reporting |
| Topic 2: Perform Descriptive and Diagnostic Analysis | 10–15% | - Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis - Statistical summarization and trend analysis |
| Topic 3: Perform Predictive Analysis | 5–10% | - Forecasting and predictive modeling - Using Snowflake ML and built-in analytics |
| Topic 4: Use Built-in Functions and Create UDFs | 10–15% | - User-Defined Functions (UDFs) - Scalar, aggregate, table, system functions |
| Topic 5: Build and Troubleshoot Advanced SQL Queries | 20–25% | - Complex joins, subqueries, window functions - Semi-structured data processing - Query optimization and troubleshooting |
| Topic 6: Prepare and Load Data | 15–20% | - Data ingestion methods: COPY INTO, stages, Snowpipe - File formats: CSV, JSON, Parquet, Avro - External tables and data validation |
| Topic 7: Perform Simple Data Transformations for Analysis | 15–20% | - Handling NULLs and structuring datasets - Data cleansing, standardization, type conversion - Views, materialized views, CTEs |
1. A Data Analyst runs a query in a Snowflake worksheet, and selects a numeric column from the result grid.
What automatically-generated contextual statistic can be visualized?
A) A histogram, displayed for all numeric, date, and time columns
B) A frequency distribution, displayed for all numeric columns
C) MIN/MAX values for the column
D) A key distribution
2. A Data Analyst wants to transform query results. Which transformation option will incur compute costs?
A) Sorting a column by using the column options.
B) Showing a thousand separator for numeric columns.
C) Formatting date and timestamp columns.
D) Increasing or decreasing decimal precision.
3. 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) 10
B) 30
C) Null
D) 20
4. Which Snowflake feature or object can be used to dynamically create and execute SQL statements?
A) System-defined functions
B) Stored procedures
C) Tasks
D) User-Defined Functions (UDFs)
5. 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) 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.
B) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
C) Create a view in the ADDRESS_DATA database.
D) Create a view in the GLOBAL_DWH database.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |
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