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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Semi-Structured Data | 10% | - VARIANT data type - Parsing and flattening semi-structured data - Array and object operations |
| Topic 2: Time Travel & Cloning | 10% | - Fail-safe concepts - UNDROP and historical data access - Zero-copy cloning - Time travel concepts and retention |
| Topic 3: Security & Access Control | 10% | - Masking policies - Authorization (roles, privileges) - Row-level and column-level security - Governance best practices - Authentication (SSO, MFA) |
| Topic 4: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Topic 5: Data Loading & Unloading | 15% | - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Data ingestion best practices - Continuous loading with Snowpipe |
| Topic 6: Account Objects | 8% | - Resource monitors - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy |
| Topic 7: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse creation and configuration - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting |
| Topic 8: Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Stored procedures and UDFs - Column types and sequences - Clustering and micro-partitions - Data manipulation (DML operations) - Table types (permanent, transient, temporary) |
| Topic 9: Data Sharing | 12% | - Reader account management - Data listing marketplace - Shares and reader accounts - Private sharing vs. Data Exchange |
| Topic 10: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
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NEW QUESTION # 311
If a table was dropped and the DATA_RETENTION_TIME_IN_DAYS was set to 0, how can the data from the table be recovered?
Answer: D
Explanation:
The correct answer is B. By creating a Snowflake Support ticket .
If DATA_RETENTION_TIME_IN_DAYS = 0, Time Travel retention is disabled for the table. This means the table cannot be recovered using normal Time Travel operations such as UNDROP TABLE or CLONE ...
BEFORE.
Why B is correct:
After Time Travel retention is unavailable, recovery may only be possible through Snowflake Fail-safe for permanent tables. Fail-safe is not directly accessible by users. Recovery from Fail-safe requires contacting Snowflake Support.
Important qualification:
This assumes the dropped table is a permanent table and the data is still within Fail-safe. Temporary and transient tables do not have Fail-safe, so they cannot be recovered this way.
Why the other options are incorrect:
A). A failover group is used for replication and disaster recovery across accounts or regions. It does not recover a dropped table with no Time Travel retention.
C). UNDROP TABLE relies on Time Travel retention. With retention set to 0, this is not available.
D). CLONE ... BEFORE also relies on Time Travel. It cannot recover data when no retention period exists.
Official Snowflake documentation reference:
Snowflake documentation explains that Time Travel enables users to restore dropped objects within the retention period. Fail-safe is a separate recovery mechanism for permanent tables and is only available through Snowflake Support.
Reference: Snowflake Documentation - Time Travel; Fail-safe; UNDROP TABLE; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 312
When a replication schedule is set, how does Snowflake manage refreshes for failover groups?
Answer: C
Explanation:
The correct answer is B. Only one refresh will run at a time .
Failover groups can be refreshed on a schedule to replicate supported account objects and database objects to target accounts. Snowflake does not run overlapping refresh operations for the same failover group.
Why B is correct:
If a scheduled refresh is still running, Snowflake does not start another concurrent refresh for the same failover group. Refresh operations are managed so that only one refresh runs at a time.
Why the other options are incorrect:
A). Multiple refreshes for the same failover group do not run concurrently.
C). Refreshes still require the appropriate privileges and configured replication/failover group permissions.
D). A delayed or long-running refresh does not mean the next refresh is automatically canceled in the way stated. The key behavior is that refreshes do not overlap.
Official Snowflake documentation reference:
Snowflake documentation for replication and failover groups explains that scheduled refreshes are managed by Snowflake and that refresh operations do not run concurrently for the same group.
Reference: Snowflake Documentation - Replication and failover groups; Snowflake Documentation - Failover group refresh; SnowPro Core Study Guide - Snowflake Account and Resource Management.
==
NEW QUESTION # 313
What type of query will benefit from the query acceleration service?
Answer: A
Explanation:
The query acceleration service in Snowflake is designed to benefit queries that involve large scans and selective filters. This service can offload portions of the query processing work to shared compute resources, which can handlethese types of workloads more efficiently by performing morework in parallel and reducing the wall-clock time spent in scanning and filtering2. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 314
Which of the following objects are contained within a schema? (Choose two.)
Answer: D,F
Explanation:
In Snowflake, a schema is a logical grouping of database objects, which can include streams and external tables. A stream is an object that allows users to query data that has changed in specified tables or views, and an external table is a table that references data stored outside of Snowflake. Roles, warehouses, users, and shares are not contained within a schema. References:SHOW OBJECTS,Database, Schema, & Share DDL
NEW QUESTION # 315
What kind of value does a User-Defined Function (UDF) return? (Select TWO).
Answer: B,E
NEW QUESTION # 316
......
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