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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Sharing | 12% | - Reader account management - Private sharing vs. Data Exchange - Shares and reader accounts - Data listing marketplace |
| Topic 2: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Resource optimization techniques - Query history and monitoring |
| Topic 3: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 4: Semi-Structured Data | 10% | - Array and object operations - VARIANT data type - Parsing and flattening semi-structured data |
| Topic 5: Virtual Warehouses | 15% | - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses |
| Topic 6: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Topic 7: Data Loading & Unloading | 15% | - Continuous loading with Snowpipe - Data unloading and staging - Bulk loading with COPY command - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) |
| Topic 8: Databases, Tables & Views | 18% | - Stored procedures and UDFs - Clustering and micro-partitions - Data manipulation (DML operations) - Column types and sequences - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) |
| Topic 9: Security & Access Control | 10% | - Governance best practices - Masking policies - Authentication (SSO, MFA) - Authorization (roles, privileges) - Row-level and column-level security |
| Topic 10: Time Travel & Cloning | 10% | - Fail-safe concepts - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access |
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질문 # 941
A Snowflake user accidentally deleted a table. The table no longer exists, but the session is within the data retention period. How can the table be restored using the LEAST amount of operational overhead?
정답：A
설명：
In Snowflake, if a table is accidentally dropped but still within the data retention period (also known as "Time Travel"), the simplest and most efficient recovery method is the UNDROP command. This command restores the deleted table to its previous state with minimal operational effort. Since Snowflake retains dropped table data for a specific retention period (up to 90 days for the Enterprise edition), UNDROP can quickly recover the table without the need for complex cloning or data reloading processes, making it ideal for accidental deletions.
질문 # 942
In addition to the SELECT privilege, what other privilege must a role have to select from a table in database1.
schema1?
정답：C
설명：
The correct answer is D. The USAGE privilege on the database and the schema .
To query a table in Snowflake, a role needs the SELECT privilege on the table. In addition, the role must have USAGE on the containing database and schema so it can resolve and access the object path.
Why D is correct:
For a table named:
database1.schema1.table1
A role generally needs:
USAGE ON DATABASE database1
USAGE ON SCHEMA database1.schema1
SELECT ON TABLE database1.schema1.table1
Without USAGE on the database and schema, the role cannot access the namespace that contains the table, even if SELECT exists on the table.
Why the other options are incorrect:
A). There is no USAGE privilege on a table for this purpose. SELECT is the table-level privilege needed to read data.
B). OWNERSHIP on the schema is not required to query a table.
C). REFERENCES is used for foreign key/reference-related behavior and is not required for simple SELECT queries.
Official Snowflake documentation reference:
Snowflake documentation explains that access to objects requires privileges on the object and appropriate USAGE privileges on parent containers, such as the database and schema.
Reference: Snowflake Documentation - Access control privileges; Snowflake Documentation - Overview of access control; SnowPro Core Study Guide - Security and Access Control.
==
질문 # 943
Where is Snowflake metadata stored?
정답：A
설명：
Snowflake's architecture is divided into three layers: database storage, query processing, and cloud services. The metadata, which includes information about the structure of the data, the SQL operations performed, and the service-level policies, is stored in the cloud services layer. This layer acts as the brain of the Snowflake environment, managing metadata, query optimization, and transaction coordination.
질문 # 944
A company strongly encourages all Snowflake users to self-enroll in Snowflake's default Multi-Factor Authentication (MFA) service to provide increased login security for users connecting to Snowflake.
Which application will the Snowflake users need to install on their devices in order to connect with MFA?
정답：A
설명：
Snowflake's default Multi-Factor Authentication (MFA) service is powered by Duo Security. Users are required to install the Duo Mobile application on their devices to use MFA for increased login security when connecting to Snowflake.This service is managed entirely by Snowflake, and users do not need to sign up separately with Duo1.
질문 # 945
The following settings are configured:
THE MIN_DATA_RETENTION_TIME_IN_DAYS is set to 5 at the account level.
THE DATA_RETENTION_TIME_IN_DAYS is set to 2 at the object level.
For how many days will the data be retained at the object level?
정답：D
설명：
The settings shown in the image indicate that the data retention time in days is configured at two different levels: the account level and the object level. At the account level, theMIN_DATA_RETENTION_TIME_IN_DAYSis set to 5 days, and at the object level, theDATA_RETENTION_TIME_IN_DAYSis set to 2 days. Since the object level setting has a lower value, it takes precedence over the account level setting for the specific object. Therefore, the data will be retained for
2 days at the object level.
References: Snowflake Documentation on Data Retention Policies
질문 # 946
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