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| Section | Objectives |
|---|---|
| Topic 1: Security, Governance, and Data Sharing | - Access control and security
|
| Topic 2: Data Transformation and Analysis | - SQL-based transformations
|
| Topic 3: Data Loading and Unloading | - Data ingestion methods
|
| Topic 4: Snowflake Architecture and Data Platform Fundamentals | - Data platform fundamentals
|
| Topic 5: Data Modeling and Performance Optimization | - Performance tuning
|
1. A Data Analyst needs to write a query that will return all projects from a project table and all employees from an employee table. What type of join should be used in this query?
A) Full outer join
B) Cross join
C) Inner join
D) Left outer join
2. What option would allow a Data Analyst to efficiently estimate cardinality on a data set that contains trillions of rows?
A) SYSTEM$ESTIMATE
B) Count(Distinct *)
C) HLL(*)
D) Count(Distinct *)/Count(*)
3. 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, SUM(ACTIVE_DRIVERS), VARIANCE(AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
B) SELECT CITY, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
C) SELECT CITY, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
RIDE_DATA GROUP BY CITY;
D) SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
4. A Data Analyst has a very large table with columns that contain country and city names. Which query will provide a very quick estimate of the total number of different values of these two columns?
A) SELECT COUNT(country, city) FROM TABLE1;
B) SELECT DISTINCT COUNT(country, city) FROM TABLE1;
C) SELECT HLL(country, city) FROM TABLE1;
D) SELECT COUNT(DISTINCT country, city) FROM TABLE1;
5. 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) AVG(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 6 PRECEDING AND
CURRENT ROW)
B) SUM(SALES) OVER (ORDER BY SALES_DATE ROWS BETWEEN 7 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)
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |
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