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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Presentation and Data Visualization | 28%-29% | - Integrate with BI tools
|
| Topic 2: Data Analysis | 30%-32% | - Perform advanced analytics using SQL
|
| Topic 3: Data Transformation and Data Modeling | 22%-30% | - Transform data using SQL
|
| Topic 4: Data Ingestion and Data Preparation | 15%-20% | - Perform data discovery to identify what is needed from available datasets
|
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NEW QUESTION # 23
Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?
Answer: A
Explanation:
In Snowflake, a Stored Procedure is the primary object used for procedural logic and the encapsulation of multiple SQL statements. Unlike standard functions that are typically restricted to returning a single value or a table based on an input, Stored Procedures are designed to perform administrative tasks, wrap complex business logic, and execute a sequence of operations-such as DDL (Data Definition Language) and DML (Data Manipulation Language) commands-within a single callable object.
Modular code development is facilitated by Stored Procedures because they allow analysts and developers to write logic once and reuse it across various workflows. For example, a procedure can be written to truncate a staging table, call a COPY INTO command, and then execute several INSERT statements into a final fact table. This "wrapper" approach ensures consistency, as any change to the logic only needs to be updated in the procedure definition rather than in every script or task that uses it.
Evaluating the Options:
* Option B is incorrect because a Materialized View is a pre-computed result set used to improve query performance; it does not "encapsulate a series of statements" for procedural execution.
* Option C is incorrect because while User-Defined Functions (UDFs) provide reusability, they are generally intended for calculations or data transformations that return a result. They are much more restricted than procedures; for instance, a UDF cannot execute DDL commands like CREATE TABLE.
* Option D is incorrect because a Common Table Expression (CTE) is a temporary named result set defined within the execution scope of a single SELECT, INSERT, UPDATE, or DELETE statement. It is not a persistent database object and cannot be reused across different sessions or scripts.
* Option A is the correct answer. Snowflake Stored Procedures can be written in multiple languages (JavaScript, Snowflake Scripting/SQL, Python, Java, or Scala), providing the flexibility needed for sophisticated, modular automation in a data pipeline.
NEW QUESTION # 24
How does operationalizing data contribute to maintaining reports and dashboards for business requirements?
Answer: A
Explanation:
Operationalizing data ensures consistent and efficient usage of reports and dashboards.
NEW QUESTION # 25
A financial analyst is using Snowflake to forecast stock prices based on historical data'. They have a table named 'STOCK PRICES with columns 'TRADE DATE (DATE) and 'CLOSING PRICE (NUMBER). They want to implement a custom moving average calculation using window functions to smooth out short-term fluctuations and identify trends. Specifically, they need to calculate a 7-day weighted moving average, where the most recent day has the highest weight and the weights decrease linearly. Which SQL statement correctly implements this weighted moving average calculation?
Answer: E
Explanation:
Option E is the correct answer because it accurately calculates the 7-day weighted moving average with linearly decreasing weights. It assigns weights from 7 (most recent) down to 1 (oldest) within the 7-day window. The weight calculation '(7 - ROW_NUMBER() OVER (ORDER BY TRADE DATE DESC) + 1)' ensures the most recent date has a weight of 7, and the weights decrease linearly to 1. The sum of the weighted closing prices is then divided by the sum of the weights to get the weighted average. Other options are incorrect because they either calculate a simple moving average, apply incorrect weights, or have syntactic errors. Option B and D's row_number() is ordered ascending, resulting in the oldest data point having the highest weight.
NEW QUESTION # 26
What actions are involved in data discovery to identify necessary elements from available datasets in Snowflake? (Select all that apply)
Answer: A,C
Explanation:
Data discovery in Snowflake involves querying tables and evaluating required transformations for dataset refinement.
NEW QUESTION # 27
When maintaining reports and dashboards, why is it essential to build automated and repeatable tasks?
Answer: A
Explanation:
Automated tasks reduce manual efforts, ensuring consistency in reports and dashboards.
NEW QUESTION # 28
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