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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse creation and configuration - Warehouse sizing and scaling |
| Topic 2: Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Views (standard, materialized, secure) - Column types and sequences - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Clustering and micro-partitions |
| Topic 3: Performance Optimization & Monitoring | 4% | - Query history and monitoring - Query profiling and performance tuning - Resource optimization techniques |
| Topic 4: Data Sharing | 12% | - Shares and reader accounts - Private sharing vs. Data Exchange - Data listing marketplace - Reader account management |
| Topic 5: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Topic 6: Data Loading & Unloading | 15% | - Bulk loading with COPY command - Continuous loading with Snowpipe - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices |
| Topic 7: Time Travel & Cloning | 10% | - Fail-safe concepts - UNDROP and historical data access - Time travel concepts and retention - Zero-copy cloning |
| Topic 8: Account Objects | 8% | - Resource monitors - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure |
| Topic 9: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 10: Security & Access Control | 10% | - Row-level and column-level security - Governance best practices - Authentication (SSO, MFA) - Masking policies - Authorization (roles, privileges) |
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NEW QUESTION # 642
What Multi-Factor Authentication, or MFA, service is provided by Snowflake?
Answer: A
Explanation:
The correct answer is C. Duo Security .
Snowflake provides integrated Multi-Factor Authentication through Duo Security . MFA adds an additional verification step beyond username and password authentication, improving account security.
Why C is correct:
Snowflake's native MFA integration uses Duo Security. Users can enroll in MFA and authenticate using Duo- supported methods.
Why the other options are incorrect:
A). Microsoft Entra ID can be used as an identity provider for federated authentication, but it is not the MFA service provided natively by Snowflake.
B). Google Authenticator is a common authenticator app, but it is not Snowflake's native MFA service.
D). Microsoft Authenticator is also a common MFA app, but Snowflake's built-in MFA service is Duo Security.
Official Snowflake documentation reference:
Snowflake documentation describes Snowflake MFA as being powered by Duo Security.
Reference: Snowflake Documentation - Multi-factor authentication; Snowflake Documentation - User authentication; SnowPro Core Study Guide - Security and Access Control.
==
NEW QUESTION # 643
By default, which Snowflake role is required to create a share?
Answer: A
Explanation:
By default, the Snowflake role required to create a share is ACCOUNTADMIN (D).This role has the necessary privileges to perform administrative tasks, including creating shares for data sharing purposes
NEW QUESTION # 644
Which copy option is used to include column headers when unloading data to Parquet files?
Answer: A
Explanation:
The correct answer is C. HEADER = TRUE .
When unloading data with the COPY INTO < location > command, the HEADER option specifies whether column names should be included in the output file.
Why C is correct:
HEADER = TRUE includes column headings in the unloaded file output.
Example:
COPY INTO @my_stage/output/
FROM my_table
FILE_FORMAT = (TYPE = PARQUET)
HEADER = TRUE;
Important note for exam review:
For CSV unloads, HEADER = TRUE includes column names in the first row. For Parquet unloads, Snowflake can use column names in the Parquet output metadata/schema when the header option is enabled.
Why the other options are incorrect:
A). PARSE_HEADER is a file format option used when loading CSV data with inferred column names. It is not the unload option for including headers.
B). SKIP_HEADER is used when loading files to skip header rows. It does not include headers during unloading.
D). This syntax is not the correct Snowflake unload option for column headers.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes the HEADER option as specifying whether to include table column headings in the output files.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data; SnowPro Core Study Guide - Data Loading and Unloading.
==
NEW QUESTION # 645
When a schema is cloned, what will happen if the schema includes a table with a column that references a sequence that generates default values? (Select TWO).
Answer: C,D
NEW QUESTION # 646
What feature of Snowflake Continuous Data Protection can be used for maintenance of historical data?
Answer: D
Explanation:
Snowflake's Time Travel feature is used for the maintenance of historical data, allowing users to access and restore data that has been changed or deleted within a defined period4.
NEW QUESTION # 647
......
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