PASS GUARANTEED QUIZ 2025 SNOWFLAKE ARA-C01: NEWEST SNOWPRO ADVANCED ARCHITECT CERTIFICATION PRINTABLE PDF

Pass Guaranteed Quiz 2025 Snowflake ARA-C01: Newest SnowPro Advanced Architect Certification Printable PDF

Pass Guaranteed Quiz 2025 Snowflake ARA-C01: Newest SnowPro Advanced Architect Certification Printable PDF

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q58-Q63):

NEW QUESTION # 58
A company is following the Data Mesh principles, including domain separation, and chose one Snowflake account for its data platform.
An Architect created two data domains to produce two data products. The Architect needs a third data domain that will use both of the data products to create an aggregate data product. The read access to the data products will be granted through a separate role.
Based on the Data Mesh principles, how should the third domain be configured to create the aggregate product if it has been granted the two read roles?

  • A. Use secondary roles for all users.
  • B. Request that the two data domains share data using the Data Exchange.
  • C. Request a technical ETL user with the sysadmin role.
  • D. Create a hierarchy between the two read roles.

Answer: B

Explanation:
In the scenario described, where a third data domain needs access to two existing data products in a Snowflake account structured according to Data Mesh principles, the best approach is to utilize Snowflake's Data Exchange functionality. Option D is correct as it facilitates the sharing and governance of data across different domains efficiently and securely. Data Exchange allows domains to publish and subscribe to live data products, enabling real-time data collaboration and access management in a governed manner. This approach is in line with Data Mesh principles, which advocate for decentralized data ownership and architecture, enhancing agility and scalability across the organization.References:
* Snowflake Documentation on Data Exchange
* Articles on Data Mesh Principles in Data Management


NEW QUESTION # 59
What are purposes for creating a storage integration? (Choose three.)

  • A. Store a generated identity and access management (IAM) entity for an external cloud provider regardless of the cloud provider that hosts the Snowflake account.
  • B. Create private VPC endpoints that allow direct, secure connectivity between VPCs without traversing the public internet.
  • C. Avoid supplying credentials when creating a stage or when loading or unloading data.
  • D. Control access to Snowflake data using a master encryption key that is maintained in the cloud provider's key management service.
  • E. Support multiple external stages using one single Snowflake object.
  • F. Manage credentials from multiple cloud providers in one single Snowflake object.

Answer: A,C,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.References: Snowflake documentation on storage integrations, found within the SnowPro Advanced: Architect course materials.


NEW QUESTION # 60
A company is storing large numbers of small JSON files (ranging from 1-4 bytes) that are received from IoT devices and sent to a cloud provider. In any given hour, 100,000 files are added to the cloud provider.
What is the MOST cost-effective way to bring this data into a Snowflake table?

  • A. An external table
  • B. A copy command at regular intervals
  • C. A stream
  • D. A pipe

Answer: D

Explanation:
Explanation
* A pipe is a Snowflake object that continuously loads data from files in a stage (internal or external) into a table. A pipe can be configured to use auto-ingest, which means that Snowflake automatically detects new or modified files in the stage and loads them into the table without any manual intervention1.
* A pipe is the most cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it minimizes the number of COPY commands executed and the number of micro-partitions created. A pipe can use file aggregation, which means that it can combine multiple small files into a single larger file before loading them into the table. This reduces the load time and the storage cost of the data2.
* An external table is a Snowflake object that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table does not store the data in Snowflake, but only provides a view of the data for querying. An external table is not a cost-effective way to bring data into a Snowflake table, because it does not support file aggregation, and it requires additional network bandwidth and compute resources to query the external data3.
* A stream is a Snowflake object that records the history of changes (inserts, updates, and deletes) made to a table. A stream can be used to consume the changes from a table and apply them to another table or a task. A stream is not a way to bring data into a Snowflake table, but a way to process the data after it is loaded into a table4.
* A copy command is a Snowflake command that loads data from files in a stage into a table. A copy command can be executed manually or scheduled using a task. A copy command is not a cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it does not support file aggregation, and it may create many micro-partitions that increase the storage cost of the data5.
References: : Pipes : Loading Data Using Snowpipe : External Tables : Streams : COPY INTO <table>


NEW QUESTION # 61
Which of the following are characteristics of Snowflake's parameter hierarchy?

  • A. Schema parameters override account parameters.
  • B. Virtual warehouse parameters override user parameters.
  • C. Session parameters override virtual warehouse parameters.
  • D. Table parameters override virtual warehouse parameters.

Answer: B

Explanation:
In Snowflake's parameter hierarchy, virtual warehouse parameters take precedence over user parameters. This hierarchy is designed to ensure that settings at the virtual warehouse level, which typically reflect the requirements of a specific workload or set of queries, override the preferences set at the individual user level. This helps maintain consistent performance and resource utilization as specified by the administrators managing the virtual warehouses.
Reference: Snowflake documentation on parameter hierarchy, found in the SnowPro Advanced: Architect learning materials.


NEW QUESTION # 62
It is recommended to assign ACCOUNTADMIN role to atleast two user

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 63
......

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