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ARA-C01 Valid Exam Vce, Knowledge ARA-C01 Points

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a certification program designed for professionals working with Snowflake, a cloud-based data warehousing and analytics platform. SnowPro Advanced Architect Certification certification is designed for advanced-level architects who have a deep understanding of Snowflake's architecture, best practices, and functionality. ARA-C01 Exam measures the candidate's ability to design and implement complex Snowflake solutions in a variety of scenarios.

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The ARA-C01 practice questions at It-Tests ARA-C01 cover all the key topics and areas of knowledge necessary to get success on the first try. The product of It-Tests is designed by professionals and is regularly updated to reflect the latest changes in the content. The It-Tests recognizes that students may have different learning styles and preferences. Therefore, the It-Tests offers PDF format, desktop practice exam software, and ARA-C01 Exam Questions to help customers prepare for the ARA-C01 exam successfully.

The SnowPro Advanced Architect Certification exam is an online, proctored exam that consists of 60 multiple-choice questions. ARA-C01 Exam content is designed to test the candidate's knowledge of the Snowflake platform and its various features. ARA-C01 exam is timed, and candidates have two hours to complete it. SnowPro Advanced Architect Certification certification is a globally recognized certification, and it allows professionals to showcase their expertise in Snowflake's cloud data platform.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q144-Q149):

NEW QUESTION # 144
For which use cases, will you use cross-cloud and cross-region replication?

A. Data portability and account migrations
B. Secure data sharing across regions/cloud
C. All of these
D. Business continuity and disaster recovery

Answer: C

NEW QUESTION # 145
Which of the following ingestion methods can be used to load near real-time data by using the messaging services provided by a cloud provider?

A. Snowpipe
B. Snowflake Connector for Kafka
C. Spark
D. Snowflake streams

Answer: A

NEW QUESTION # 146
A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions. The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.
The company's Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.
According to Snowflake recommended best practice, how should these requirements be met?

A. Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.
B. Deploy a Private Data Exchange in combination with data shares for the European accounts.
C. Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.
D. Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.

Answer: A

NEW QUESTION # 147
A DevOps team has a requirement for recovery of staging tables used in a complex set of data pipelines. The staging tables are all located in the same staging schem a. One of the requirements is to have online recovery of data on a rolling 7-day basis.
After setting up the DATA_RETENTION_TIME_IN_DAYS at the database level, certain tables remain unrecoverable past 1 day.
What would cause this to occur? (Choose two.)

A. The staging schema has not been setup for MANAGED ACCESS.
B. The staging tables are of the TRANSIENT type.
C. The DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.
D. The DevOps role should be granted ALLOW_RECOVERY privilege on the staging schema.
E. The tables exceed the 1 TB limit for data recovery.

Answer: B,C

Explanation:
The DATA_RETENTION_TIME_IN_DAYS parameter controls the Time Travel retention period for an object (database, schema, or table) in Snowflake. This parameter specifies the number of days for which historical data is preserved and can be accessed using Time Travel operations (SELECT, CREATE ... CLONE, UNDROP)1.
The requirement for recovery of staging tables on a rolling 7-day basis means that the DATA_RETENTION_TIME_IN_DAYS parameter should be set to 7 at the database level. However, this parameter can be overridden at the lower levels (schema or table) if they have a different value1.
Therefore, one possible cause for certain tables to remain unrecoverable past 1 day is that the DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day. This would override the database level setting and limit the Time Travel retention period for all the tables in the schema to 1 day. To fix this, the parameter should be unset or set to 7 at the schema level1. Therefore, option B is correct.
Another possible cause for certain tables to remain unrecoverable past 1 day is that the staging tables are of the TRANSIENT type. Transient tables are tables that do not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. Transient tables are suitable for temporary or intermediate data that can be easily reproduced or replicated2. To fix this, the tables should be created as permanent tables, which can have a Time Travel retention period of up to 90 days1. Therefore, option D is correct.
Option A is incorrect because the MANAGED ACCESS feature is not related to the data recovery requirement. MANAGED ACCESS is a feature that allows granting access privileges to objects without explicitly granting the privileges to roles. It does not affect the Time Travel retention period or the data availability3.
Option C is incorrect because there is no 1 TB limit for data recovery in Snowflake. The data storage size does not affect the Time Travel retention period or the data availability4.
Option E is incorrect because there is no ALLOW_RECOVERY privilege in Snowflake. The privilege required to perform Time Travel operations is SELECT, which allows querying historical data in tables5.

NEW QUESTION # 148
Which statement is true about clustering key?

A. Clustering key can be many per table and each key can have more than one column
B. Clustering key can be many per table but each key can have only one column
C. Clustering key can be one per table but the key can have more than one column

Answer: C

NEW QUESTION # 149
......

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