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| Section | Weight | Objectives |
|---|---|---|
| Perform Simple Data Transformations for Analysis | 15–20% | - Views, materialized views, CTEs - Data cleansing, standardization, type conversion - Handling NULLs and structuring datasets |
| Perform Predictive Analysis | 5–10% | - Using Snowflake ML and built-in analytics - Forecasting and predictive modeling |
| Prepare and Load Data | 15–20% | - File formats: CSV, JSON, Parquet, Avro - External tables and data validation - Data ingestion methods: COPY INTO, stages, Snowpipe |
| Build and Troubleshoot Advanced SQL Queries | 20–25% | - Complex joins, subqueries, window functions - Query optimization and troubleshooting - Semi-structured data processing |
| Prepare and Present Data | 10–15% | - Align outputs with business requirements - Snowsight dashboards and sharing results - Data visualization and reporting |
| Perform Descriptive and Diagnostic Analysis | 10–15% | - Statistical summarization and trend analysis - Anomaly detection and root cause analysis - Exploratory and ad-hoc analysis |
| Use Built-in Functions and Create UDFs | 10–15% | - Scalar, aggregate, table, system functions - User-Defined Functions (UDFs) |
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NEW QUESTION # 39
When performing a diagnostic analysis, what action aids in identifying demographics and relationships? (Select all that apply)
Answer: C,D
Explanation:
Analyzing statistical trends and collecting related data are crucial in identifying demographics and relationships in diagnostic analysis.
NEW QUESTION # 40
You are analyzing sales data in Snowflake to identify seasonal trends and patterns. You have a table 'SALES DATA with columns 'SALE DATE (DATE) and 'SALE_AMOUNT (NUMBER). Which of the following SQL queries and visualization techniques would be MOST effective in identifying and visualizing these seasonal trends? Assume the data spans several years.
Answer: A
Explanation:
Option C is the most effective because it combines weekly sales aggregation with a box plot analysis of monthly sales across multiple years. The weekly aggregation provides a granular view of sales trends, while the box plot effectively visualizes the distribution of sales for each month, allowing for easy identification of monthly seasonal patterns and outliers. Option A only shows monthly sales volume, not the distribution of sales within each month across years. Option B shows the yearly trend, not seasonal variations. Option D doesn't aggregate the data and hence can't show you the seasonality. Option E only shows the daily variance across weeks.
NEW QUESTION # 41
In diagnostic analysis, what significance do demographics and relationships hold when identifying anomalies? (Select all that apply)
Answer: B,C
Explanation:
Identifying demographic variations and considering relationships are crucial in identifying anomalies during diagnostic analysis.
NEW QUESTION # 42
You are tasked with loading data from an S3 bucket into a Snowflake table named 'SALES DATA'. The data is in CSV format, compressed with gzip, and contains a header row The S3 bucket requires AWS IAM role authentication. The 'SALES DATA' table already exists, and you want to use a named stage for this ingestion process. Which of the following steps are necessary to successfully load the data, minimizing administrative overhead?
Answer: A,C,E
Explanation:
Options A, B, and D are correct. Option A: Snowflake needs an IAM role and storage integration to access the S3 bucket securely. Option B: A stage object simplifies the COPY INTO command and handles file format details. Option D: Correct permissions are required for the data load to succeed. Option C is incorrect because Snowflake can directly read gzipped CSV files from S3 when configured correctly. Option E is incorrect because granting public read access to the S3 bucket is a security risk and is not the best practice; using IAM roles provides controlled and secure access.
NEW QUESTION # 43
You need to create an exact, point-in-time copy of a production database named 'CUSTOMER DATA for testing purposes, without impacting the performance of the production system. You want to ensure that the test database 'CUSTOMER DATA TEST uses minimal storage. Which of the following Snowflake commands provides the MOST efficient way to achieve this?
Answer: B
Explanation:
The 'CREATE DATABASE CUSTOMER DATA TEST CLONE CUSTOMER DATA;' command is the MOST efficient because it leverages Snowflake's zero-copy cloning feature. Cloning creates a metadata copy of the database; data is only physically copied when changes are made to the clone. This minimizes storage usage and has a minimal performance impact on the production database. Option A is used for replication across accounts/regions. Option B is not a valid Snowflake command. Option D only copies the structure, and not the data. Option E copies the data into a table within a new or existing database, not cloning the entire database structure.
NEW QUESTION # 44
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