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| Section | Weight | Objectives |
|---|---|---|
| Data Loading and Virtual Warehouses | 40% | - Create tables in Snowflake and load data into the tables
|
| Identity and Data Access Management | 15% | - Create a database, explore data, configure parameters, and transfer ownership
|
| Interacting with Snowflake and the Architecture | 35% | - Outline key features and benefits of the Snowflake AI Data Cloud
|
| Data Protection and Data Sharing | 10% | - Outline continuous data protection with Snowflake
|
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NEW QUESTION # 209
You are managing a Snowflake environment with continuous data protection enabled. A critical table, `CUSTOMER ORDERS , was accidentally dropped by a user. You need to restore this table with the least possible data loss and downtime. Which of the following steps should you take?
Answer: E
Explanation:
The 'UNDROP TABLE command using Time Travel is the quickest and most efficient way to restore a dropped table. Time Travel allows you to restore data to a specific point in time within a defined period (up to 90 days for Enterprise Edition). Fail-safe is not directly accessible for data restoration and serves as a last resort for Snowflake. Option C is possible but may involve restoring a larger scope than necessary. Option D necessitates a proper backup and restore procedure which would require additional setup. Option E is incorrect as fail-safe can not directly be accessed.
NEW QUESTION # 210
Query History can display data up to how many days?
Answer: A
Explanation:
InSnowsight, the Query History user interface retains and displays executed query information for up to14 days. This includes query text, status, start/end timestamps, duration, warehouse usage, and result statistics.
Snowsight also offers grouping by session, user, warehouse, and time windows for detailed analytics and troubleshooting.
It is important to distinguish Snowsight UI limits from SQL-based history functions. The table functionINFORMATION_SCHEMA.QUERY_HISTORY()returns only7 daysof history, whereas Snowsight visually retains 14 days. Snowflake's Account Usage views (e.g., QUERY_HISTORY) retain data for longer periods but are meant for programmatic auditing rather than UI display.
Incorrect options:
* 7 days refers only to Information Schema.
* 21 or 28 days are not supported by Snowsight's UI.
Thus, the correct visibility window in the Snowsight interface is14 days.
NEW QUESTION # 211
What is a "provider" in the context of the Snowflake Marketplace or Data Exchange?
Answer: C
Explanation:
In Snowflake Marketplace and Data Exchange, aprovideris any Snowflake user or organization that publishes and shares datasets, data products, or applications with other Snowflake consumers. Providers control access to their listings, configure data sharing models, and can offer either free or paid data products. They manage listing descriptions, update schedules, and refresh logic, ensuring customers or subscribers receive up-to-date and reliable information. Providers can be enterprises, analytics vendors, public data contributors, or research institutions. They are distinct from consumers, who access or use the shared data. Providers also do not handle Snowflake platform infrastructure-that is Snowflake's responsibility. Snowflake employees are not categorized as providers unless they publish official Snowflake datasets. Thus, the primary purpose of a provider is to share curated data offerings on the Marketplace or within private exchanges.
NEW QUESTION # 212
You are tasked with loading data from an external stage containing gzipped CSV files into a Snowflake table. The CSV files have a header row that you want to skip during the load process.
Additionally, you need to transform the data during the load, specifically concatenating two columns (FIRST NAME and LAST NAME) into a new column called FULL NAME. Which combination of the following COPY INTO options will accomplish this task? Choose all that apply.
Answer: A,E
Explanation:
Option A sets the FILE FORMAT correctly specifying the file type as CSV, skipping the header row (SKIP HEADER = 1), and specifying the compression type as GZIP. Option D correctly transforms the data by selecting all columns and concatenating the columns. This option assumes the file format is already defined in the COPY INTO statement. The @mystage/data.csv after FROM should only include name of the stage name and not the filename. However, that is not part of copy options but part of FROM Statement. The TRANSFORMS parameters that are part of copy options are deprecated.
NEW QUESTION # 213
You have a Snowflake Notebook that retrieves data from a table named 'PRODUCT PRICES.
You want to visualize this data using Streamlit within the same notebook. Which of the following code snippets demonstrates the correct approach to create a basic Streamlit chart displaying product prices, assuming the data is stored in a Pandas DataFrame called with columns
'product_name' and 'price'?
Answer: B
Explanation:
Option C is the most appropriate. It uses the `st.bar_chart function, specifically targeting the
'product_name' column for the x-axis and the 'price' column for the y-axis, correctly creating a bar chart. This leverages the direct integration between Pandas DataFrames and Streamlit charting functions. Other options may not produce the desired chart directly or may require more complex manipulation of the data.
NEW QUESTION # 214
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