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Snowflake COF-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Protection & Data Sharing	10%	- Data recovery & retention 1. Time Travel, Fail-safe, cloning capabilities 2. Data retention policies and backup - Secure data sharing 1. Direct sharing, data exchanges, reader accounts 2. Sharing security and access control
Topic 2: Snowflake Architecture & Cloud Concepts	25%	- Account structure and hierarchy 1. Object ownership and naming conventions 2. Organization, account, database, schema levels - Cloud data platform fundamentals 1. Service layers and separation of storage/compute 2. Data storage structure and formats 3. Virtual warehouses and resource management
Topic 3: Account Access & Security	20%	- Data protection & governance 1. Encryption at rest and in transit 2. Data masking and row-level security - Authentication & authorization 1. Network policies and security settings 2. Users, roles, privileges and access control
Topic 4: Performance Concepts & Optimization	15%	- Warehouse sizing & tuning 1. Scaling, clustering, and concurrency management 2. Query profiling and optimization techniques - Data optimization features 1. Caching and result reuse 2. Clustering keys, search optimization, materialized views
Topic 5: Data Pipelines & Automation	10%	- Workflow & automation 1. Streams, tasks, and pipes 2. Change data capture and processing - Integration & connectivity 1. External functions and API integration 2. Connectors and ETL/ELT patterns
Topic 6: Data Loading & Transformation	20%	- Data ingestion methods 1. File formats and data type handling 2. Bulk loading, continuous loading, external stages - Data transformation & querying 1. DDL/DML operations and SQL functions 2. Working with structured, semi-structured, unstructured data

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Snowflake SnowPro Core Certification Exam Sample Questions (Q644-Q649):

NEW QUESTION # 644
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake.
The user enables the strip__outer_array file format option
What does the STRIP_OUTER_ARRAY file format do?

A. It removes the NULL elements from the JSON object eliminating invalid data and enables the ability to load the records
B. It removes the last element of the outer array.
C. It removes the outer array structure and loads the records into separate table rows,
D. It removes the trailing spaces in the last element of the outer array and loads the records into separate table columns

Answer: C

Explanation:
The STRIP_OUTER_ARRAY file format option in Snowflake is used when loading JSON documents that are composed of a large array containing multiple records. When this option is enabled, it removes the outer array structure, which allows each record within the array to be loaded as a separate row in the table. This is particularly useful for efficiently loading JSON data that is structured as an array of records1.
References:
* Snowflake Documentation on JSON File Format
* [COF-C02] SnowPro Core Certification Exam Study Guide

NEW QUESTION # 645
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?

A. It removes the NULL elements from the JSON object eliminating invalid data and enables the ability to load the records
B. It removes the last element of the outer array.
C. It removes the outer array structure and loads the records into separate table rows,
D. It removes the trailing spaces in the last element of the outer array and loads the records into separate table columns

Answer: C

Explanation:
Data Size Limitations
The VARIANT data type imposes a 16 MB size limit on individual rows.
For some semi-structured data formats (e.g. JSON), data sets are frequently a simple concatenation of multiple documents. The JSON output from some software is composed of a single huge array containing multiple records. There is no need to separate the documents with line breaks or commas, though both are supported.
If the data exceeds 16 MB, enable the STRIP_OUTER_ARRAY file format option for the COPY INTO <table> command to remove the outer array structure and load the records into separate table rows:
copy into <table>
from @~/<file>.json
file_format = (type = 'JSON' strip_outer_array = true);
https://docs.snowflake.com/en/user-guide/semistructured-considerations.html

NEW QUESTION # 646
Which metrics in the QUERY_HISTORY Account_Usage View can be used to assess the pruning efficiency of a query? (Select TWO).

A. TOTAL_ELAPSED_TIME
B. COMPILATION_TIME
C. PARTITIONS_TOTAL
D. EXECUTION_TIME
E. PARTITIONS_SCANNED

Answer: C,E

NEW QUESTION # 647
How does Snowflake reorganize data when it is loaded? (Select TWO).

A. Compressed format
B. Columnar format
C. Zipped format
D. Binary format
E. Raw format

Answer: A,B

NEW QUESTION # 648
Snowflake provides a mechanism for its customers to override its clustering algorithms.
This method is:

A. Clustered partitions
B. Micro-partitions
C. Key partitions
D. Clustering keys

Answer: D

NEW QUESTION # 649
......

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