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ARA-C01 Official Cert Guide & ARA-C01 Latest Exam Testking

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Posted on: 02/19/25

P.S. Free 2025 Snowflake ARA-C01 dumps are available on Google Drive shared by TestSimulate: https://drive.google.com/open?id=1J7-epTr3gQUjGBLbMwq1AKCPIDHMdsp5

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Snowflake ARA-C01 Exam covers a wide range of advanced topics related to Snowflake architecture, including data modeling, security, performance tuning, and data integration. Candidates are expected to have a deep understanding of Snowflake’s features and functionality, as well as the ability to apply this knowledge to real-world scenarios.

>> ARA-C01 Official Cert Guide <<

SnowPro Advanced Architect Certification Exam Practice Torrent & ARA-C01 Real Test Reviews

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The SnowPro Advanced Architect Certification Exam is a rigorous exam that evaluates the candidate’s knowledge and expertise in various areas of Snowflake architecture, including data modeling, security, performance, scalability, and data integration. ARA-C01 Exam is designed to test the candidate’s ability to design, configure, and optimize Snowflake solutions to meet the specific needs of a business. The SnowPro Advanced Architect Certification Exam is a vendor-neutral certification program that is recognized by leading companies worldwide, making it a valuable credential for professionals who want to advance their career in the field of data warehousing and analytics.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q63-Q68):

NEW QUESTION # 63
The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?

  • A.
  • B.
  • C.
  • D.

Answer: D


NEW QUESTION # 64
A Snowflake Architect is designing an application and tenancy strategy for an organization where strong legal isolation rules as well as multi-tenancy are requirements.
Which approach will meet these requirements if Role-Based Access Policies (RBAC) is a viable option for isolating tenants?

  • A. Create an object for each tenant strategy if row level security is not viable for isolating tenants.
  • B. Create an object for each tenant strategy if row level security is viable for isolating tenants.
  • C. Create accounts for each tenant in the Snowflake organization.
  • D. Create a multi-tenant table strategy if row level security is not viable for isolating tenants.

Answer: C

Explanation:
Explanation
This approach meets the requirements of strong legal isolation and multi-tenancy. By creating separate accounts for each tenant, the application can ensure that each tenant has its own dedicated storage, compute, and metadata resources, as well as its own encryption keys and security policies. This provides the highest level of isolation and data protection among the tenancy models. Furthermore, by creating the accounts within the same Snowflake organization, the application can leverage the features of Snowflake Organizations, such as centralized billing, account management, and cross-account data sharing.
References:
* Snowflake Organizations Overview | Snowflake Documentation
* Design Patterns for Building Multi-Tenant Applications on Snowflake


NEW QUESTION # 65
What is a key consideration when setting up search optimization service for a table?

  • A. The table must be clustered with a key having multiple columns for effective search optimization.
  • B. Search optimization service works best with a column that has a minimum of 100 K distinct values.
  • C. Search optimization service can significantly improve query performance on partitioned external tables.
  • D. Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.

Answer: B

Explanation:
A: The Search Optimization Service is designed to accelerate the performance of queries that use filters on large tables. One of the key considerations for its effectiveness is using it with tables where the columns used in the filter conditions have a high number of distinct values, typically in the hundreds of thousands or more. This is because the service creates a map-reduce-like index on the column to speed up queries that use point lookups or range scans on that column. The more unique values there are, the more effective the index is at narrowing down the search space.
Reference: Snowflake documentation and best practices on the Search Optimization Service, which would be covered under the SnowPro Advanced: Architect certification materials.


NEW QUESTION # 66
A company is designing high availability and disaster recovery plans and needs to maximize redundancy and minimize recovery time objectives for their critical application processes. Cost is not a concern as long as the solution is the best available. The plan so far consists of the following steps:
1. Deployment of Snowflake accounts on two different cloud providers.
2. Selection of cloud provider regions that are geographically far apart.
3. The Snowflake deployment will replicate the databases and account data between both cloud provider accounts.
4. Implementation of Snowflake client redirect.
What is the MOST cost-effective way to provide the HIGHEST uptime and LEAST application disruption if there is a service event?

  • A. Connect the applications using the <organization_name>-<accountLocator> URL. Use the Enterprise Snowflake edition.
  • B. Connect the applications using the <organization_name>-<accountLocator> URL. Use the Business Critical Snowflake edition.
  • C. Connect the applications using the <organization_name>-<connection_name> URL. Use the Virtual Private Snowflake (VPS) edition.
  • D. Connect the applications using the <organization_name>-<connection_name> URL. Use the Business Critical Snowflake edition.

Answer: B

Explanation:
To provide the highest uptime and least application disruption in case of a service event, the best option is to use the Business Critical Snowflake edition and connect the applications using the <organization_name>-<accountLocator> URL. The Business Critical Snowflake edition offers the highest level of security, performance, and availability for Snowflake accounts. It includes features such as customer-managed encryption keys, HIPAA compliance, and 4-hour RPO and RTO SLAs. It also supports account replication and failover across regions and cloud platforms, which enables business continuity and disaster recovery. By using the <organization_name>-<accountLocator> URL, the applications can leverage the Snowflake Client Redirect feature, which automatically redirects the client connections to the secondary account in case of a failover. This way, the applications can seamlessly switch to the backup account without any manual intervention or configuration changes. The other options are less cost-effective or less reliable because they either use a lower edition of Snowflake, which does not support account replication and failover, or they use the <organization_name>-<connection_name> URL, which does not support client redirect and requires manual updates to the connection string in case of a failover. Reference:
[Snowflake Editions] 1
[Replication and Failover/Failback] 2
[Client Redirect] 3
[Snowflake Account Identifiers] 4


NEW QUESTION # 67
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. Snowflake streams
  • B. Spark
  • C. Snowflake Connector for Kafka
  • D. Snowpipe

Answer: C

Explanation:
Snowflake Connector for Kafka and Snowpipe are two ingestion methods that can be used to load near real-time data by using the messaging services provided by a cloud provider. Snowflake Connector for Kafka enables you to stream structured and semi-structured data from Apache Kafka topics into Snowflake tables.
Snowpipe enables you to load data from files that are continuously added to a cloud storage location, such as Amazon S3 or Azure Blob Storage. Both methods leverage Snowflake's micro-partitioning and columnar storage to optimize data ingestion and query performance. Snowflake streams and Spark are not ingestion methods, but rather components of the Snowflake architecture. Snowflake streams provide change data capture (CDC) functionality by tracking data changes in a table. Spark is a distributed computing framework that can be used to process large-scale data and write it to Snowflake using the Snowflake Spark Connector. References:
* Snowflake Connector for Kafka
* Snowpipe
* Snowflake Streams
* Snowflake Spark Connector


NEW QUESTION # 68
......

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