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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collaboration & Protection | 10% | - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe |
| Topic 2: Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance |
| Topic 3: Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - SQL Transformations, Semi-structured/Unstructured Data |
| Topic 4: Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables |
| Topic 5: Snowflake Architecture & Core Concepts | 31% | - Virtual Warehouses, Clustering, Caching - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types |
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NEW QUESTION # 199
In the Data Exchange, who can get or request data from the listings? (Select TWO).
Answer: C,D
Explanation:
In the Snowflake Data Exchange, the ability to get or request data from listings is generally controlled by specific roles and privileges:
A . Users with ACCOUNTADMIN role: This role typically has the highest level of access within a Snowflake account, including the ability to manage and access all features and functions. Users with this role can access data listings within the Data Exchange.
D . Users with import share privilege: This specific privilege is necessary for users who need to import shared data from the Data Exchange. This privilege allows them to request and access data listings explicitly shared with them.
NEW QUESTION # 200
What are common issues found by using the Query Profile? (Choose two.)
Answer: A,E
Explanation:
The Query Profile in Snowflake is used to identify performance issues with queries. Common issues that can be found using the Query Profile include identifying inefficient micro-partition pruning (D) and data spilling to a local or remote disk (E).Micro-partition pruning is related to the efficiency of query execution, and data spilling occurs when the memory is insufficient, causing the query to write data to disk, which can slow down the query performance1.
NEW QUESTION # 201
What causes objects in a data share to become unavailable to a consumer account?
Answer: C
Explanation:
Objects in a data share become unavailable to a consumer account if the objects in the data share are deleted or if the permissions on these objects are altered without re-applying the grant permissions systematically. This is because the sharing mechanism in Snowflake relies on explicit grants of permissions on specific objects (like tables, views, or secure views) to the share. If these objects are deleted or if their permissions change without updating the share accordingly, consumers can lose access.
The DATA_RETENTION_TIME_IN_DAYS parameter does not directly affect the availability of shared objects, as it controls how long Snowflake retains historical data for time travel and does not impact data sharing permissions.
Running the GRANT IMPORTED PRIVILEGES command in the consumer account is not related to the availability of shared objects; this command is used to grant privileges on imported objects within the consumer's account and is not a routine maintenance command that would need to be run regularly.
Acquiring a data share through a private data exchange does not inherently make objects unavailable; issues would only arise if there were problems with the share configuration or if the shared objects were deleted or had their permissions altered without re-granting access to the share.
NEW QUESTION # 202
Assume there is a table consisting of five micro-partitions with values ranging from A to Z.
Which diagram indicates a well-clustered table?
Answer: D
Explanation:
A well-clustered table in Snowflake means that the data is organized in such a way that related data points are stored close to each other within the micro-partitions. This optimizes query performance by reducing the amount of scanned data. The diagram indicated by option C shows a well-clustered table, as it likely represents a more evenly distributed range of values across the micro-partitions1.
References = Snowflake Micro-partitions & TableClustering
NEW QUESTION # 203
What Snowflake tool can be used to share data and metadata to one or more accounts in Snowflake?
Answer: A
NEW QUESTION # 204
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