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| Section | Weight | Objectives |
|---|---|---|
| Virtual Warehouses | 15% | - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Warehouse sizing and scaling - Multi-cluster warehouses |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - Array and object operations - VARIANT data type |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
| Data Loading & Unloading | 15% | - Bulk loading with COPY command - Continuous loading with Snowpipe - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging |
| Data Sharing | 12% | - Reader account management - Data listing marketplace - Shares and reader accounts - Private sharing vs. Data Exchange |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access - Fail-safe concepts |
| Account Objects | 8% | - Resource monitors - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy |
| Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
| Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Views (standard, materialized, secure) - Column types and sequences - Clustering and micro-partitions - Stored procedures and UDFs - Table types (permanent, transient, temporary) |
| Security & Access Control | 10% | - Authorization (roles, privileges) - Authentication (SSO, MFA) - Row-level and column-level security - Governance best practices - Masking policies |
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NEW QUESTION # 923
What happens to the objects in a reader account when the DROP MANAGED ACCOUNT command is executed?
Answer: D
Explanation:
When the DROP MANAGED ACCOUNT command is executed in Snowflake, it removes the managed account, including all objects created within the account, and access to the account is immediately restricted2.
References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 924
A company's security audit requires generating a report listing all Snowflake logins (e.g.. date and user) within the last 90 days. Which of the following statements will return the required information?
Answer: D
Explanation:
To generate a report listing all Snowflake logins within the last 90 days, the ACCOUNT_USAGE.LOGIN_HISTORY view should be used.This view provides information about login attempts, including successful and unsuccessful logins, and is suitable for security audits4.
NEW QUESTION # 925
Which features are included in Snowsight? (Select TWO)
Answer: D,E
NEW QUESTION # 926
A user has 10 files in a stage containing new customer data. The ingest operation completes with no errors, using the following command:
COPY INTO my__table FROM @my__stage;
The next day the user adds 10 files to the stage so that now the stage contains a mixture of new customer data and updates to the previous data. The user did not remove the 10 original files.
If the user runs the same copy into command what will happen?
Answer: C
Explanation:
When the COPY INTO command is executed in Snowflake, it processes all files present in the specified stage that have not been ingested before or marked as already loaded. Since the user did not remove the original 10 files after the first load, running the same COPY INTO command again will result in all 20 files being processed. This means that the data from the original 10 files will be appended to the table again, along with the data from the new 10 files, potentially leading to duplicate records for the original data set.
References:
Snowflake Documentation on Data Loading
SnowPro Core Certification Study Guide
NEW QUESTION # 927
What Snowflake features allow virtual warehouses to handle high concurrency workloads? (Select TWO)
Answer: C,E
Explanation:
Snowflake's architecture is designed to handle high concurrency workloads through several features, two of which are particularly effective:
B . The use of warehouse auto scaling: This feature allows Snowflake to automatically adjust the compute resources allocated to a virtual warehouse in response to the workload. If there is an increase in concurrent queries, Snowflake can scale up the resources to maintain performance.
D . Use of multi-clustered warehouses: Multi-clustered warehouses enable Snowflake to run multiple clusters of compute resources simultaneously. This allows for the distribution of queries across clusters, thereby reducing the load on any single cluster and improving the system's ability to handle a high number of concurrent queries.
These features ensure that Snowflake can manage varying levels of demand without manual intervention, providing a seamless experience even during peak usage.
References:
Snowflake Documentation on Virtual Warehouses
SnowPro Core Certification Study Guide
NEW QUESTION # 928
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