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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 2: Databases, Tables & Views | 18% | - Column types and sequences - Views (standard, materialized, secure) - Data manipulation (DML operations) - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Stored procedures and UDFs |
| Topic 3: Security & Access Control | 10% | - Authorization (roles, privileges) - Authentication (SSO, MFA) - Governance best practices - Masking policies - Row-level and column-level security |
| Topic 4: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
| Topic 5: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
| Topic 6: Time Travel & Cloning | 10% | - Fail-safe concepts - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access |
| Topic 7: Semi-Structured Data | 10% | - Array and object operations - VARIANT data type - Parsing and flattening semi-structured data |
| Topic 8: Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Bulk loading with COPY command - Data ingestion best practices - Data unloading and staging |
| Topic 9: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration - Multi-cluster warehouses |
| Topic 10: Data Sharing | 12% | - Reader account management - Shares and reader accounts - Private sharing vs. Data Exchange - Data listing marketplace |
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NEW QUESTION # 905
Which automatic Snowpipe feature ensures that the same data file is not loaded multiple times into a table?
Answer: B
Explanation:
The correct answer is B. Snowpipe references the metadata of previously loaded files and will not load new files with the same metadata .
Snowflake keeps load metadata for files loaded into a table. Snowpipe uses this metadata to prevent duplicate loading of the same file into the same table.
Why B is correct:
Snowpipe tracks metadata for loaded files, including information that identifies files already processed. If the same file is encountered again, Snowpipe can use the load metadata to avoid loading it again.
Why the other options are incorrect:
A). Snowpipe does not automatically delete files from the stage after loading.
C). Snowpipe does not automatically rename staged files after loading.
D). Snowpipe does not automatically move loaded files to a temporary stage.
Official Snowflake documentation reference:
Snowflake documentation explains that Snowpipe maintains load metadata and prevents the same files from being loaded multiple times into the same table by default.
Reference: Snowflake Documentation - Snowpipe; Snowflake Documentation - Load metadata; Snowflake Documentation - Data loading considerations; SnowPro Core Study Guide - Data Loading and Unloading.
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NEW QUESTION # 906
What is a characteristic of materialized views in Snowflake?
Answer: C
Explanation:
One of the characteristics of materialized views in Snowflake is that they allow multiple tables to be joined in the underlying query. This enables the pre-computation of complex queries involving joins, which can significantly improve the performance of subsequent queries that access the materialized view4. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 907
Who can create network policies within Snowflake? (Select TWO).
Answer: C,E
Explanation:
In Snowflake, network policies define the allowed IP address ranges from which users can connect to Snowflake, enhancing security by restricting access based on network location. The creation and management of network policies require sufficient privileges. Specifically, a user with theSECURITYADMINrole or any role with higher privileges, such asACCOUNTADMIN, can create network policies. Additionally, a custom role can be granted theCREATE NETWORK POLICYprivilege, enabling users assigned to that role to also create network policies. This approach allows for flexible and secure management of network access to Snowflake.
References: Snowflake Documentation on Network Policies
NEW QUESTION # 908
What is the recommended file sizing for data loading using Snowpipe?
Answer: C
Explanation:
For data loading using Snowpipe, the recommended file size is a compressed file greater than 10 MB and up to 100 MB. This size range is optimal for Snowpipe's continuous, micro-batch loading process, allowing for efficient and timely data ingestion without overwhelming the system with files that are too large or too small.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Snowpipe1
NEW QUESTION # 909
What is the COALESCE conditional expression used for?
Answer: A
Explanation:
The correct answer is D. To return the first non-NULL expression in an argument .
COALESCE evaluates its arguments from left to right and returns the first expression that is not NULL. If all expressions are NULL, it returns NULL.
Why D is correct:
SELECT COALESCE(phone_mobile, phone_home, phone_work, ' No phone ' ) AS contact_phone FROM customers; This returns the first available non-NULL phone number. If all phone columns are NULL, it returns ' No phone ' .
Why the other options are incorrect:
A). Splitting strings is handled by functions such as SPLIT.
B). Removing duplicates is handled with DISTINCT, grouping, or deduplication logic.
C). Joining column values is usually done with concatenation functions or operators, such as CONCAT.
Official Snowflake documentation reference:
Snowflake documentation describes COALESCE as a conditional expression that returns the first non-NULL expression among its arguments.
Reference: Snowflake Documentation - COALESCE; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 910
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