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Databases created from shares cannot be replicated
A. FALSE
B. TRUE
Antwort: B
96. Frage
A global company with operations in North America, Europe, and Asia needs to secure its Snowflake environment with a focus on data privacy, secure connectivity, and access control. The company uses AWS and must ensure secure data transfers that comply with regional regulations.
How can these requirements be met? (Select TWO).
A. Use AWS PrivateLink for private connectivity between Snowflake and AWS VPCs.
B. Configure network policies to restrict access based on corporate IP ranges.
C. Use public endpoints with SSL encryption to secure data transfers.
D. Configure detailed logging and monitoring of all network traffic using Snowflake native capabilities.
E. Configure SAML 2.0 to authenticate users in the Snowflake environment.
Antwort: A,B
Begr¨¹ndung:
For global enterprises handling sensitive data, Snowflake architects must design for both secure access control and secure network connectivity. Network policies allow administrators to restrict access to Snowflake accounts based on approved IP address ranges, ensuring that only corporate offices or trusted networks can connect (Answer D). This is a core Snowflake security control and is frequently tested in the SnowPro Architect exam.
AWS PrivateLink provides private, non-internet-based connectivity between Snowflake and customer AWS VPCs (Answer E). This ensures that data traffic does not traverse the public internet, which is critical for meeting regional regulatory and compliance requirements related to data privacy and sovereignty. PrivateLink also simplifies security posture by reducing exposure to public endpoints.
While SAML authentication is important for identity management, it does not address secure data transport.
Public endpoints with SSL are secure but do not meet stricter regulatory requirements when private connectivity is mandated. Snowflake does not provide detailed packet-level network traffic monitoring.
Together, network policies and PrivateLink provide strong, compliant, and regionally secure Snowflake architectures.
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97. Frage
How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)
A. A task schedule will follow only the specified time and will fail to handle lost or duplicated hours.
B. A frequent task execution schedule like minutes may not cause a problem, but will affect the task history.
C. A task scheduled in a UTC-based schedule will have no issues with the time changes.
D. A task will move to a suspended state during the daylight savings time change.
E. Task schedules can be designed to follow specified or local time zones to accommodate the time changes.
Antwort: C,E
Begr¨¹ndung:
Explanation
According to the Snowflake documentation1 and the web search results2, these two statements are true about how the change of local time due to daylight savings time is handled in Snowflake tasks. A task is a feature that allows scheduling and executing SQL statements or stored procedures in Snowflake. A task can be scheduled using a cron expression that specifies the frequency and time zone of the task execution.
* A task scheduled in a UTC-based schedule will have no issues with the time changes. UTC is a universal time standard that does not observe daylight savings time. Therefore, a task that uses UTC as the time zone will run at the same time throughout the year, regardless of the local time changes1.
* Task schedules can be designed to follow specified or local time zones to accommodate the time changes. Snowflake supports using any valid IANA time zone identifier in the cron expression for a task. This allows the task to run according to the local time of the specified time zone, which may include daylight savings time adjustments. For example, a task that uses Europe/London as the time zone will run one hour earlier or later when the local time switches between GMT and BST12.
References:
* Snowflake Documentation: Scheduling Tasks
* Snowflake Community: Do the timezones used in scheduling tasks in Snowflake adhere to daylight savings?
98. Frage
Company A has recently acquired company B. The Snowflake deployment for company B is located in the Azure West Europe region.
As part of the integration process, an Architect has been asked to consolidate company B's sales data into company A's Snowflake account which is located in the AWS us-east-1 region.
How can this requirement be met?
A. Replicate the sales data from company B's Snowflake account into company A's Snowflake account using cross-region data replication within Snowflake. Configure a direct share from company B's account to company A's account.
B. Export the sales data from company B's Snowflake account as CSV files, and transfer the files to company A's Snowflake account. Import the data using Snowflake's data loading capabilities.
C. Migrate company B's Snowflake deployment to the same region as company A's Snowflake deployment, ensuring data locality. Then perform a direct database-to-database merge of the sales data.
D. Build a custom data pipeline using Azure Data Factory or a similar tool to extract the sales data from company B's Snowflake account. Transform the data, then load it into company A's Snowflake account.
Antwort: A
Begr¨¹ndung:
The best way to meet the requirement of consolidating company B's sales data into company A's Snowflake account is to use cross-region data replication within Snowflake. This feature allows data providers to securely share data with data consumers across different regions and cloud platforms. By replicating the sales data from company B's account in Azure West Europe region to company A's account in AWS us-east-1 region, the data will be synchronized and available for consumption. To enable data replication, the accounts must be linked and replication must be enabled by a user with the ORGADMIN role. Then, a replication group must be created and the sales database must be added to the group. Finally, a direct share must be configured from company B's account to company A's account to grant access to the replicated data. This option is more efficient and secure than exporting and importing data using CSV files or migrating the entire Snowflake deployment to another region or cloud platform. It also does not require building a custom data pipeline using external tools.
Reference:
Sharing data securely across regions and cloud platforms
Introduction to replication and failover
Replication considerations
Replicating account objects
99. Frage
Which command can be run to list all shares that have been created in your account or are available to consume by your account
A. DESCRIBE SHARES
B. LIST SHARES
C. SHOW SHARES
Antwort: C
100. Frage
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