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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 2: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
| Topic 3: Data Loading & Unloading | 15% | - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging - Continuous loading with Snowpipe - Bulk loading with COPY command |
| Topic 4: Data Sharing | 12% | - Private sharing vs. Data Exchange - Reader account management - Data listing marketplace - Shares and reader accounts |
| Topic 5: Time Travel & Cloning | 10% | - Zero-copy cloning - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access |
| Topic 6: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 7: Virtual Warehouses | 15% | - Warehouse creation and configuration - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Multi-cluster warehouses |
| Topic 8: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 9: Security & Access Control | 10% | - Row-level and column-level security - Masking policies - Authorization (roles, privileges) - Authentication (SSO, MFA) - Governance best practices |
| Topic 10: Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Column types and sequences - Views (standard, materialized, secure) - Stored procedures and UDFs |
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NEW QUESTION # 694
Which of the following commands cannot be used within a reader account?
Answer: B
Explanation:
In Snowflake, a reader account is a type of account that is intended for consuming shared data rather than performing any data management or DDL operations. The CREATE SHAREcommand is used to share data from your account with another account, which is not a capability provided to reader accounts. Reader accounts are typically restricted from creating shares, as their primary purpose is to read shared data rather than to share it themselves.
References:
Snowflake Documentation on Reader Accounts
SnowPro Core Certification Study Guide
NEW QUESTION # 695
A user creates two tasks:
* Task A loads data into a staging table.
* Task B transforms the data and is configured as a child task that depends on Task A.
After resuming Task A, the user notices that Task B never runs, even though Task A completes successfully.
What is the reason?
Answer: B
Explanation:
Newly created tasks are suspended by default. Resuming the root task does not automatically resume suspended child tasks in a task graph.
A child task does not need its own schedule. It runs after its predecessor completes successfully, subject to any task conditions. However, the child task must be in a started or resumed state.
The task graph can be enabled by resuming each task individually or by using the system function designed to enable dependent tasks.
Tasks in a graph can use different warehouses. That configuration does not, by itself, prevent a child task from running.
References:
Snowflake Documentation - Task graphs: https://docs.snowflake.com/en/user-guide/tasks-graphs Snowflake Documentation - Starting and suspending tasks: https://docs.snowflake.com/en/user-guide/tasks- intro
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NEW QUESTION # 696
When working with table MY_TABLE that contains 10 rows, which sampling query will always return exactly 5 rows?
Answer: B
Explanation:
In Snowflake, SAMPLE (5 ROWS) ensures an exact count of 5 rows is returned from MY_TABLE, regardless of table size. This is different from SAMPLE SYSTEM or SAMPLE BERNOULLI, which use percentage-based sampling, potentially returning varying row counts based on probabilistic methods.
The ROWS option is deterministic and does not depend on percentage, making it ideal when an exact row count is required.
NEW QUESTION # 697
A user needs to create a materialized view in the schema MYDB.MYSCHEMA. Which statements will provide this access?
Answer: C
Explanation:
To provide a user with the necessary access to create a materialized view in a schema, the user must be granted a role that has the CREATE MATERIALIZED VIEW privilege on that schema.First, the role is granted to the user, and then the privilege is granted to the role
NEW QUESTION # 698
A Snowflake user creates this stored procedure:
PROCEDURE SALES_REPORT(MONTH INT, YEAR INT);
Which statement will remove the stored procedure?
Answer: B
Explanation:
The correct answer is B. DROP PROCEDURE SALES_REPORT(INT, INT); .
In Snowflake, stored procedures can be overloaded. This means multiple procedures can have the same name but different argument signatures. Because of this, when dropping a stored procedure, the procedure name and argument data types are used to identify the exact procedure to remove.
Why B is correct:
The procedure was created with two arguments:
MONTH INT, YEAR INT
When dropping the procedure, Snowflake uses the argument data types, not the argument names. Therefore, the correct statement is:
DROP PROCEDURE SALES_REPORT(INT, INT);
Why the other options are incorrect:
A). The argument names are not included in the drop signature. Snowflake expects the argument data types.
C). This includes only argument names without data types, which is not the correct procedure signature syntax.
D). This does not identify the procedure signature and is not sufficient when dropping a stored procedure.
Official Snowflake documentation reference:
Snowflake documentation for DROP PROCEDURE explains that the procedure name and argument data types are required to identify the stored procedure to drop.
Reference: Snowflake Documentation - DROP PROCEDURE; Snowflake Documentation - Stored procedures; SnowPro Core Study Guide - SQL and Snowflake Objects.
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NEW QUESTION # 699
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