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Snowflake ARA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Architect Certification Exam
Exam Number:	ARA-C01
Available Languages:	English
Passing Score:	750 (scaled score out of 1000)
Exam Price:	$375 USD
Exam Format:	Multiple select, Multiple choice
Certificate Validity Period:	2 years
Exam Duration:	115 minutes
Real Exam Qty:	Approximately 65
Related Certifications:	SnowPro Core Certification
Recommended Training:	Snowflake Training & Certification Learning Path
Exam Registration:	Snowflake Certification Portal
Sample Questions:	Snowflake ARA-C01 Sample Questions
Exam Way:	Online proctored exam
Pre Condition:	SnowPro Core Certification is strongly recommended and often expected before attempting the Advanced Architect exam
Official Syllabus URL:	https://www.snowflake.com/certification/

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a professional accreditation designed for experienced data architects and engineers who specialize in building data solutions on the Snowflake platform. SnowPro Advanced Architect Certification certification validates an individual's expertise in designing and implementing complex data architectures that can handle the demands of modern businesses. ARA-C01 Exam covers a broad range of topics, including data modeling, data integration, security, scalability, and performance optimization.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q184-Q189):

NEW QUESTION # 184
An Architect needs to improve the performance of reports that pull data from multiple Snowflake tables, join, and then aggregate the data. Users access the reports using several dashboards. There are performance issues on Monday mornings between 9:00am-11:00am when many users check the sales reports.
The size of the group has increased from 4 to 8 users. Waiting times to refresh the dashboards has increased significantly. Currently this workload is being served by a virtual warehouse with the following parameters:
AUTO-RESUME = TRUE AUTO_SUSPEND = 60 SIZE = Medium
What is the MOST cost-effective way to increase the availability of the reports?

A. Use a multi-cluster warehouse in auto-scale mode with 1 size Medium cluster, and set min_cluster_count = 1 and max_cluster_count = 4.
B. Use materialized views and pre-calculate the data.
C. Use a multi-cluster warehouse in maximized mode with 2 size Medium clusters.
D. Increase the warehouse to size Large and set auto_suspend = 600.

Answer: A

Explanation:
The most cost-effective way to increase the availability and performance of the reports during peak usage times, while keeping costs under control, is to use a multi-cluster warehouse in auto-scale mode. Option D suggests using a multi-cluster warehouse with 1 size Medium cluster and allowing it to auto-scale between 1 and 4 clusters based on demand. This setup ensures that additional computing resources are available when needed (e.g., during Monday morning peaks) and are scaled down to minimize costs when the demand decreases. This approach optimizes resource utilization and cost by adjusting the compute capacity dynamically, rather than maintaining a larger fixed size or multiple clusters continuously.
Reference: Snowflake's official documentation on managing warehouses and using auto-scaling features.

NEW QUESTION # 185
With default settings for multi cluster warehouse, how does snowflake determines when to start a new cluster?

A. Only if the system estimates there's enough query load to keep the cluster busy for at least 4 minutes.
B. Only if the system estimates there's enough query load to keep the cluster busy for at least 6 minutes.
C. Immediately when either a query is queued or the system detects that there's one more query than the currently-running clusters can execute

Answer: C

NEW QUESTION # 186
Dynamic data masking is supported in which editions of snowflake

A. Standard
B. Business Critical
C. Enterprise
D. VPS

Answer: B,C,D

NEW QUESTION # 187
A company has several sites in different regions from which the company wants to ingest data.
Which of the following will enable this type of data ingestion?

A. The company must replicate data between Snowflake accounts.
B. The company should use a storage integration for the external stage.
C. The company should provision a reader account to each site and ingest the data through the reader accounts.
D. The company must have a Snowflake account in each cloud region to be able to ingest data to that account.

Answer: B

NEW QUESTION # 188
A team needs to recover data after pipeline failures or business rule violations.
Requirements:
* Database recoverable for 48 hours
* Analytics schema recoverable for 5 days
What is the correct approach?

A. Use custom stored procedure backups.
B. Use tasks with database and schema clones.
C. Use Time Travel with MIN_DATA_RETENTION_TIME_IN_DAYS = 2 and
DATA_RETENTION_TIME_IN_DAYS = 5 on the ANALYTICS schema.
D. Use Time Travel with DATA_RETENTION_TIME_IN_DAYS = 2 and
MIN_DATA_RETENTION_TIME_IN_DAYS = 5 on the ANALYTICS schema.

Answer: C

Explanation:
Snowflake Time Travel enables point-in-time recovery without manual backups. Setting MIN_DATA_RETENTION_TIME_IN_DAYS = 2 ensures that all database objects retain at least 48 hours of recoverable history. Extending DATA_RETENTION_TIME_IN_DAYS = 5 at the schema level allows longer recovery specifically for the analytics schema (Answer C).
This approach meets both recovery requirements with minimal operational overhead and aligns with Snowflake best practices. Cloning via tasks introduces unnecessary complexity and storage management.
Custom backups are not required due to built-in Time Travel capabilities.
SnowPro Architect exams emphasize using native Snowflake features such as Time Travel for data recovery scenarios.
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NEW QUESTION # 189
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