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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security & Access Control | 10% | - Row-level and column-level security - Governance best practices - Authentication (SSO, MFA) - Masking policies - Authorization (roles, privileges) |
| Topic 2: Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Topic 3: Data Loading & Unloading | 15% | - Data ingestion best practices - Continuous loading with Snowpipe - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging |
| Topic 4: Databases, Tables & Views | 18% | - Column types and sequences - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Clustering and micro-partitions - Data manipulation (DML operations) |
| Topic 5: Time Travel & Cloning | 10% | - Time travel concepts and retention - Fail-safe concepts - UNDROP and historical data access - Zero-copy cloning |
| Topic 6: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 7: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Multi-cluster warehouses - Warehouse creation and configuration |
| Topic 8: Data Sharing | 12% | - Shares and reader accounts - Private sharing vs. Data Exchange - Data listing marketplace - Reader account management |
| Topic 9: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 10: Performance Optimization & Monitoring | 4% | - Query history and monitoring - Query profiling and performance tuning - Resource optimization techniques |
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NEW QUESTION # 1020
What situation is likely to cause data spillage when a query is run?
Answer: D
NEW QUESTION # 1021
A Query Profile for a query that took 10 minutes shows that 2 GB of data was spilled to storage.
Why is the query taking so long, and what should be done to improve its performance?
Answer: B
Explanation:
Spilling occurs when an operation cannot keep all required intermediate data in warehouse memory.
Snowflake first spills data to local storage and can spill additional data to remote storage. Storage access is slower than memory access, so substantial spilling can increase query duration.
Increasing the warehouse size provides more compute resources and more memory per execution cluster. This can reduce or eliminate spilling for a memory-intensive query.
Adding clusters to a multi-cluster warehouse primarily improves concurrency by allowing more queries to execute simultaneously. It generally does not assign multiple clusters to accelerate one individual query.
Warehouse auto-suspend does not terminate an actively running query. Auto-suspend occurs after the warehouse has been inactive for the configured period.
References:
Snowflake Documentation - Query Profile: https://docs.snowflake.com/en/user-guide/ui-query-profile Snowflake Documentation - Optimizing warehouses for performance: https://docs.snowflake.com/en/user- guide/performance-query-warehouse
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NEW QUESTION # 1022
During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?
Answer: C
Explanation:
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit. By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:text=The%20parameter%20STATEMENT_QUEUED_TIMEOUT_IN_SECONDS%20sets%20the,indefinitely%20in%20the%20waiting%20queue.
NEW QUESTION # 1023
Using which object-level parameters will help limit query processing and concurrency slowdowns? (Select TWO).
Answer: C,D
NEW QUESTION # 1024
What is the impact of removing some of the privileges granted to a role?
Answer: B
Explanation:
The correct answer is B. The role will lose access to objects that are not granted to the updated role .
Snowflake access control is based on privileges granted to roles. Users receive access to objects through the active role and any inherited roles in the role hierarchy. If privileges are revoked from a role, that role no longer has those privileges unless they are still inherited through another granted role.
Why B is correct:
When privileges are removed from a role, users using that role lose the ability to perform actions that depended on the revoked privileges. Access is controlled by the current set of grants assigned to the role.
Why the other options are incorrect:
A). A role does not retain revoked privileges until a new session starts. Revoked privileges affect access according to Snowflake access control rules.
C). The user does not need to reissue USE ROLE just because privileges were revoked.
D). Snowflake does not terminate active sessions simply because a privilege is removed from a role.
Official Snowflake documentation reference:
Snowflake documentation explains that privileges are granted to roles, roles are granted to users or other roles, and revoking privileges removes the ability to perform the associated actions unless access exists through another role path.
Reference: Snowflake Documentation - Access control overview; Snowflake Documentation - GRANT privileges; Snowflake Documentation - REVOKE privileges; SnowPro Core Study Guide - Security and Access Control.
NEW QUESTION # 1025
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