FREE PDF QUIZ 2025 SNOWFLAKE ARA-C01: SNOWPRO ADVANCED ARCHITECT CERTIFICATION PASS-SURE RELIABLE DUMPS SHEET

Free PDF Quiz 2025 Snowflake ARA-C01: SnowPro Advanced Architect Certification Pass-Sure Reliable Dumps Sheet

Free PDF Quiz 2025 Snowflake ARA-C01: SnowPro Advanced Architect Certification Pass-Sure Reliable Dumps Sheet

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Obtaining the Snowflake ARA-C01 certification demonstrates that an individual has the skills and expertise to design, implement, and manage complex data solutions on the Snowflake platform. SnowPro Advanced Architect Certification certification is highly valued in the IT industry and can lead to better job opportunities and higher salaries. Additionally, Snowflake ARA-C01 Certified professionals can help their organizations to optimize their data solutions and achieve better business outcomes.

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Snowflake ARA-C01 certification exam is designed for professionals who want to demonstrate their advanced architectural knowledge of Snowflake's cloud data platform. This credential is highly valued in the industry and is a testament to a candidate’s expertise and proficiency in Snowflake. ARA-C01 exam covers various domains of the Snowflake platform, including architecture, design, security, performance tuning, and data integration. Passing the Snowflake ARA-C01 certification exam is a significant achievement for any data professional looking to advance their career in the field.

Snowflake ARA-C01 Certification Exam is not for the faint-hearted. It is a rigorous and challenging exam that requires a deep understanding of Snowflake architecture, data modeling, performance optimization, security, and administration. ARA-C01 exam consists of 60 multiple-choice questions that must be completed within 120 minutes. The passing score for the ARA-C01 exam is 80%, and candidates who pass the exam are awarded the SnowPro Advanced Architect Certification.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q24-Q29):

NEW QUESTION # 24
What are purposes for creating a storage integration? (Choose three.)

  • A. Manage credentials from multiple cloud providers in one single Snowflake object.
  • 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. Support multiple external stages using one single Snowflake object.
  • E. Control access to Snowflake data using a master encryption key that is maintained in the cloud provider's key management service.
  • F. Store a generated identity and access management (IAM) entity for an external cloud provider regardless of the cloud provider that hosts the Snowflake account.

Answer: C,D,F

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 # 25
How can the Snowpipe REST API be used to keep a log of data load history?

  • A. Call loadHistoryScan every 10 minutes for a 15-minutes range.
  • B. Call insertReport every 20 minutes, fetching the last 10,000 entries.
  • C. Call loadHistoryScan every minute for the maximum time range.
  • D. Call insertReport every 8 minutes for a 10-minute time range.

Answer: A

Explanation:
The Snowpipe REST API provides two endpoints for retrieving the data load history: insertReport and loadHistoryScan. The insertReport endpoint returns the status of the files that were submitted to the insertFiles endpoint, while the loadHistoryScan endpoint returns the history of the files that were actually loaded into the table by Snowpipe. To keep a log of data load history, it is recommended to use the loadHistoryScan endpoint, which provides more accurate and complete information about the data ingestion process. The loadHistoryScan endpoint accepts a start time and an end time as parameters, and returns the files that were loaded within that time range. The maximum time range that can be specified is 15 minutes, and the maximum number of files that can be returned is 10,000. Therefore, to keep a log of data load history, the best option is to call the loadHistoryScan endpoint every 10 minutes for a 15-minute time range, and store the results in a log file or a table. This way, the log will capture all the files that were loaded by Snowpipe, and avoid any gaps or overlaps in the time range. The other options are incorrect because:
* Calling insertReport every 20 minutes, fetching the last 10,000 entries, will not provide a complete log of data load history, as some files may be missed or duplicated due to the asynchronous nature of Snowpipe. Moreover, insertReport only returns the status of the files that were submitted, not the files that were loaded.
* Calling loadHistoryScan every minute for the maximum time range will result in too many API calls and unnecessary overhead, as the same files will be returned multiple times. Moreover, the maximum time range is 15 minutes, not 1 minute.
* Calling insertReport every 8 minutes for a 10-minute time range will suffer from the same problems as option A, and also create gaps or overlaps in the time range.
Snowpipe REST API
Option 1: Loading Data Using the Snowpipe REST API
PIPE_USAGE_HISTORY


NEW QUESTION # 26
It is recommended to assign ACCOUNTADMIN role to atleast two user

  • A. TRUE
  • B. FALSE

Answer: A


NEW QUESTION # 27
When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME() or CURRENT_TIMESTAMP() what will occur?

  • A. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.
  • B. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.
  • C. All rows loaded using a specific COPY statement will have the same timestamp value.
  • D. All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.

Answer: B


NEW QUESTION # 28
What considerations need to be taken when using database cloning as a tool for data lifecycle management in a development environment? (Select TWO).

  • A. Any pipes in the source referring to internal stages are not cloned.
  • B. The clone inherits all granted privileges of all child objects in the source object, including the database.
  • C. The clone inherits all granted privileges of all child objects in the source object, excluding the database.
  • D. Any pipes in the source are not cloned.
  • E. Any pipes in the source referring to external stages are not cloned.

Answer: B,D

Explanation:
Database cloning is a feature of Snowflake that allows creating a copy of a database, schema, table, or view without consuming any additional storage space. Database cloning can be used as a tool for data lifecycle management in a development environment, where developers and testers can work on isolated copies of production data without affecting the original data or each other1.
However, there are some considerations that need to be taken when using database cloning in a development environment, such as:
Any pipes in the source are not cloned. Pipes are objects that load data from a stage into a table continuously. Pipes are not cloned because they are associated with a specific stage and table, and cloning them would create duplicate data loading and potential conflicts2.
The clone inherits all granted privileges of all child objects in the source object, including the database. Privileges are the permissions that control the access and actions that can be performed on an object. When a database is cloned, the clone inherits all the privileges that were granted on the source database and its child objects, such as schemas, tables, and views. This means that the same roles that can access and modify the source database can also access and modify the clone, unless the privileges are explicitly revoked or modified3.
The other options are not correct because:
B) Any pipes in the source referring to internal stages are not cloned. This is a subset of option A, which states that any pipes in the source are not cloned, regardless of the type of stage they refer to.
C) Any pipes in the source referring to external stages are not cloned. This is also a subset of option A, which states that any pipes in the source are not cloned, regardless of the type of stage they refer to.
E) The clone inherits all granted privileges of all child objects in the source object, excluding the database. This is incorrect, as the clone inherits all granted privileges of the source object, including the database.
Reference:
1: Database Cloning | Snowflake Documentation
2: Pipes | Snowflake Documentation
3: Access Control Privileges | Snowflake Documentation


NEW QUESTION # 29
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