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Snowflake ARA-C01 Certification Exam is a rigorous exam that requires a significant amount of preparation and study. Candidates are expected to have a deep understanding of Snowflake architecture, best practices, and design principles. ARA-C01 exam also requires candidates to have hands-on experience with Snowflake and the ability to troubleshoot complex issues. SnowPro Advanced Architect Certification certification is an excellent way for architects to demonstrate their expertise in Snowflake and differentiate themselves from their peers.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a certification exam designed to test the advanced architectural skills of professionals in the field of data warehousing and cloud computing. ARA-C01 Exam is conducted by Snowflake Inc., a cloud-based data warehousing company that offers secure and scalable solutions to businesses worldwide.
Snowflake ARA-C01 exam consists of multiple-choice questions that cover a wide range of topics related to data warehousing and cloud computing. ARA-C01 exam is timed, with a total duration of 120 minutes, and candidates must achieve a minimum score of 80% to pass. ARA-C01 exam is available in multiple languages including English, Japanese, and Spanish.
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NEW QUESTION # 162
What Snowflake features should be leveraged when modeling using Data Vault?
Answer: A,C
Explanation:
These two features are relevant for modeling using Data Vault on Snowflake. Data Vault is a data modeling approach that organizes data into hubs, links, and satellites. Data Vault is designed to enable high scalability, flexibility, and performance for data integration and analytics. Snowflake is a cloud data platform that supports various data modeling techniques, including Data Vault. Snowflake provides some features that can enhance the Data Vault modeling, such as:
* Snowflake's support of multi-table inserts into the data model's Data Vault tables. Multi-table inserts (MTI) are a feature that allows inserting data from a single query into multiple tables in a single DML statement. MTI can improve the performance and efficiency of loading data into Data Vault tables, especially for real-time or near-real-time data integration. MTI can also reduce the complexity and maintenance of the loading code, as well as the data duplication and latency12.
* Scaling up the virtual warehouses will support parallel processing of new source loads. Virtual
* warehouses are a feature that allows provisioning compute resources on demand for data processing.
Virtual warehouses can be scaled up or down by changing the size of the warehouse, which determines the number of servers in the warehouse. Scaling up the virtual warehouses can improve the performance and concurrency of processing new source loads into Data Vault tables, especially for large or complex data sets. Scaling up the virtual warehouses can also leverage the parallelism and distribution of Snowflake's architecture, which can optimize the data loading and querying34.
References:
* Snowflake Documentation: Multi-table Inserts
* Snowflake Blog: Tips for Optimizing the Data Vault Architecture on Snowflake
* Snowflake Documentation: Virtual Warehouses
* Snowflake Blog: Building a Real-Time Data Vault in Snowflake
NEW QUESTION # 163
What are purposes for creating a storage integration? (Choose three.)
Answer: A,D,E
Explanation:
The purpose of creating a storage integration in Snowflake includes:
B: Store a generated identity and access management (IAM) entity for an external cloud provider - This helps in managing authentication and authorization with external cloud storage without embedding credentials in Snowflake. It supports various cloud providers like AWS, Azure, or GCP, ensuring that the identity management is streamlined across platforms.
C: Support multiple external stages using one single Snowflake object - Storage integrations allow you to set up access configurations that can be reused across multiple external stages, simplifying the management of external data integrations.
D: Avoid supplying credentials when creating a stage or when loading or unloading data - By using a storage integration, Snowflake can interact with external storage without the need to continuously manage or expose sensitive credentials, enhancing security and ease of operations.
Reference: Snowflake documentation on storage integrations, found within the SnowPro Advanced: Architect course materials.
NEW QUESTION # 164
Shares are first-class objects in Snowflake for which Snowflake provides a set of DDL commands for creating and managing shares
Answer: A
NEW QUESTION # 165
A retailer's enterprise data organization is exploring the use of Data Vault 2.0 to model its data lake solution. A Snowflake Architect has been asked to provide recommendations for using Data Vault 2.0 on Snowflake.
What should the Architect tell the data organization? (Select TWO).
Answer: B,E
Explanation:
Data Vault 2.0 on Snowflake supports the HASH_DIFF concept for change data capture, which is a method to detect changes in the data by comparing the hash values of the records. Additionally, Snowflake's multi-table insert feature allows for the loading of multiple PIT tables in parallel from a single join query, which can significantly streamline the data loading process and improve performance1.
Reference =
* Snowflake's documentation on multi-table inserts1
* Blog post on optimizing Data Vault architecture on Snowflake2
NEW QUESTION # 166
Following objects can be cloned in snowflake
Answer: A,D,E
Explanation:
Snowflake supports cloning of various objects, such as databases, schemas, tables, stages, file formats, sequences, streams, tasks, and roles. Cloning creates a copy of an existing object in the system without copying the data or metadata. Cloning is also known as zero-copy cloning1.
Among the objects listed in the question, the following ones can be cloned in Snowflake:
Permanent table: A permanent table is a type of table that has a Fail-safe period and a Time Travel retention period of up to 90 days. A permanent table can be cloned using the CREATE TABLE ... CLONE command2. Therefore, option A is correct.
Transient table: A transient table is a type of table that does not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. A transient table can also be cloned using the CREATE TABLE ... CLONE command2. Therefore, option B is correct.
External table: An external table is a type of table that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table can be cloned using the CREATE EXTERNAL TABLE ... CLONE command3. Therefore, option D is correct.
The following objects listed in the question cannot be cloned in Snowflake:
Temporary table: A temporary table is a type of table that is automatically dropped when the session ends or the current user logs out. Temporary tables do not support cloning4. Therefore, option C is incorrect.
Internal stage: An internal stage is a type of stage that is managed by Snowflake and stores files in Snowflake's internal cloud storage. Internal stages do not support cloning5. Therefore, option E is incorrect.
NEW QUESTION # 167
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