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Snowflake DAA-C01 guide torrent - SnowPro Advanced: Data Analyst Certification Exam

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DAA-C01 guide torrent
  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam

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SnowPro Advanced: Data Analyst Certification Exam DAA-C01 exam torrent materials

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

What option would allow a Data Analyst to efficiently estimate cardinality on a data set that contains trillions of rows?

  • A. Count(Distinct *)
  • B. SYSTEM$ESTIMATE
  • C. Count(Distinct *)/Count(*)
  • D. HLL(*)
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #2

This command was executed:
SQL
SELECT seq4(), uniform(1, 10, RANDOM(12))
FROM TABLE(GENERATOR(TIMELIMIT => NULL))
ORDER BY 1;
How many rows will be generated?

  • A. 0
  • B. An infinite number
  • C. 12
  • D. 10
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

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;
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

Given the following data:

This SELECT statement is executed:

What will be the result?

  • A. 1.84
  • B. 2.0
  • C. 200
  • D. 1.8
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

Consider the following chart.

What can be said about the correlation for sales over time between the two categories?

  • A. There is a non-linear correlation.
  • B. There is no correlation. (Selected)
  • C. There is a positive correlation.
  • D. There is a negative correlation.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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