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Snowflake COF-C02 (SnowPro Core Certification) Certification Exam is a comprehensive assessment of an individual's knowledge and skills in using the Snowflake data platform. SnowPro Core Certification Exam certification exam is designed to validate the candidate's ability to work with Snowflake's data warehouse and cloud data platform, including data loading, querying, and administration tasks. COF-C02 exam tests the knowledge of the candidate in the areas of data warehousing, data modeling, data loading, querying, and administration of Snowflake.
The SnowPro Core Certification exam is a computer-based exam that consists of 90 multiple-choice questions. COF-C02 Exam is timed and lasts for 2 hours. Candidates must achieve a score of at least 80% to pass the exam and earn their certification. COF-C02 exam is available in multiple languages and can be taken online from anywhere in the world.
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NEW QUESTION # 187
What are best practice recommendations for using the ACCOUNTADMIN system-defined role in Snowflake?
(Choose two.)
Answer: C,D
NEW QUESTION # 188
What is the MINIMUM Snowflake edition required to add masking policies to selectively mask plain-text data in a table or in view columns at query time?
Answer: D
NEW QUESTION # 189
Which function is used to convert rows in a relational table to a single VARIANT column?
Answer: B
Explanation:
The OBJECT_CONSTRUCT function in Snowflake is used to convert rows in a relational table into a single VARIANT column that represents each row as a JSON object. This function dynamically creates a JSON object from a list of key-value pairs, where each key is a column name and each value is the corresponding column value for a row. This is particularly useful for aggregating and transforming structured data into semi-structured JSON format for further processing or analysis.
Reference:
Snowflake Documentation: Semi-structured Data Functions
NEW QUESTION # 190
How does Snowflake recommend handling the bulk loading of data batches from files already available in cloud storage?
Answer: D
Explanation:
Snowflake recommends using the COPY command for bulk loading data batches from files already available in cloud storage. This command allows for efficient and large-scale data loading operations from files staged in cloud storage into Snowflake tables3.
NEW QUESTION # 191
A Snowflake user is using the QUERY_HISTORY view in the ACCOUNT_USAGE schema to gather information about two queries that ran in the past 10 minutes, but the data is missing. What could cause this to occur?
Answer: D
Explanation:
The correct answer is C. The ACCOUNT_USAGE schema does not provide real-time results .
The ACCOUNT_USAGE schema contains historical metadata and usage information for the Snowflake account, but its views have latency. This means recently executed queries may not appear immediately.
Corrected wording:
The object is typically referred to as the QUERY_HISTORY view in the ACCOUNT_USAGE schema, not QUERY_HISTORY_VIEW.
Why C is correct:
If queries ran only 10 minutes ago, they may not yet appear in SNOWFLAKE.ACCOUNT_USAGE.
QUERY_HISTORY because ACCOUNT_USAGE views are not real-time. For more immediate query history, users can use the INFORMATION_SCHEMA.QUERY_HISTORY table function, subject to its scope and retention limits.
Why the other options are incorrect:
A). Running queries on a multi-cluster warehouse does not prevent query history from being recorded.
B). Queries using the result cache can still appear in query history.
D). If the user lacked privileges, they would generally be unable to query the view or would have limited visibility, but the key clue is that the queries ran in the past 10 minutes.
Official Snowflake documentation reference:
Snowflake documentation states that ACCOUNT_USAGE views can have latency and should not be expected to return real-time data.
Reference: Snowflake Documentation - ACCOUNT_USAGE schema; Snowflake Documentation - QUERY_HISTORY view; Snowflake Documentation - INFORMATION_SCHEMA.QUERY_HISTORY; SnowPro Core Study Guide - Account Usage and Monitoring.
NEW QUESTION # 192
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