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Snowflake ARA-C01 exam is a vendor-neutral certification that is recognized globally. It is designed to validate the skills and knowledge of professionals in Snowflake architecture and design, making them more competitive in the job market. Passing the exam demonstrates that a candidate has a deep understanding of Snowflake and can design and implement complex Snowflake solutions with high levels of efficiency, scalability, and security. Overall, the Snowflake ARA-C01 Exam is an excellent opportunity for professionals who want to advance their careers in Snowflake architecture and design.
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To be eligible to take the Snowflake ARA-C01 Exam, candidates must have already passed the Snowflake SCA-C01 (SnowPro Core Certification) Exam. The SnowPro Core Certification is the foundation of the SnowPro Certification program and covers the core concepts and skills needed to work with Snowflake. Once a candidate has passed the SnowPro Core Certification, they can then move on to the SnowPro Advanced Architect Certification.
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.
NEW QUESTION # 40
An Architect is designing a solution that will be used to process changed records in an orders table. Newly-inserted orders must be loaded into the f_orders fact table, which will aggregate all the orders by multiple dimensions (time, region, channel, etc.). Existing orders can be updated by the sales department within 30 days after the order creation. In case of an order update, the solution must perform two actions:
1. Update the order in the f_0RDERS fact table.
2. Load the changed order data into the special table ORDER _REPAIRS.
This table is used by the Accounting department once a month. If the order has been changed, the Accounting team needs to know the latest details and perform the necessary actions based on the data in the order_repairs table.
What data processing logic design will be the MOST performant?
Answer: A
Explanation:
The most performant design for processing changed records, considering the need to both update records in the f_orders fact table and load changes into the order_repairs table, is to use one stream and two tasks. The stream will monitor changes in the orders table, capturing both inserts and updates. The first task would apply these changes to the f_orders fact table, ensuring all dimensions are accurately represented. The second task would use the same stream to insert relevant changes into the order_repairs table, which is critical for the Accounting department's monthly review. This method ensures efficient processing by minimizing the overhead of managing multiple streams and synchronizing between them, while also allowing specific tasks to optimize for their target operations.
Reference: Snowflake's documentation on streams and tasks for handling data changes efficiently.
NEW QUESTION # 41
Files arrive in an external stage every 10 seconds from a proprietary system. The files range in size from 500 K to 3 MB. The data must be accessible by dashboards as soon as it arrives.
How can a Snowflake Architect meet this requirement with the LEAST amount of coding? (Choose two.)
Answer: B,E
NEW QUESTION # 42
You have a table named JSON_TBL which has a variant column JSON_VAR. The json stored in that table looks as below
{
"COURSE_DESC": "SNOWFLAKE CERTIFICATION",
"COURSE_ID": 1000,
"DURATION": 2
}
if you run a query SELECT JSON_VAR:Course_id FROM JSON_TBL; what will it return
Answer: A
NEW QUESTION # 43
An Architect runs the following SQL query:
How can this query be interpreted?
Answer: D
Explanation:
* A stage is a named location in Snowflake that can store files for data loading and unloading. A stage can be internal or external, depending on where the files are stored.
* The query in the question uses the LIST function to list the files in a stage named FILEROWS. The function returns a table with various columns, including FILE_ROW_NUMBER, which is the line number of the file in the stage.
* Therefore, the query can be interpreted as listing the files in a stage named FILEROWS and showing the line number of each file in the stage.
References:
* : Stages
* : LIST Function
NEW QUESTION # 44
A retail company has 2000+ stores spread across the country. Store Managers report that they are having trouble running key reports related to inventory management, sales targets, payroll, and staffing during business hours. The Managers report that performance is poor and time-outs occur frequently.
Currently all reports share the same Snowflake virtual warehouse.
How should this situation be addressed? (Select TWO).
Answer: B,C
Explanation:
The best way to address the performance issues and time-outs faced by the Store Manager team is to configure a dedicated virtual warehouse for them and make it multi-clustered. This will allow them to run their reports independently from other workloads and scale up or down the compute resources as needed. A dedicated virtual warehouse will also enable them to apply specific security and access policies for their data.
A multi-clustered virtual warehouse will provide high availability and concurrency for their queries and avoid queuing or throttling.
Using a Business Intelligence tool for in-memory computation may improve performance, but it will not solve the underlying issue of insufficient compute resources in the shared virtual warehouse. It will also introduce additional costs and complexity for the data architecture.
Configuring the virtual warehouse to size 4-XL may increase the performance, but it will also increase the cost and may not be optimal for the workload. It will also not address the concurrency and availability issues that may arise from sharing the virtual warehouse with other workloads.
Advising the Store Manager team to defer report execution to off-business hours may reduce the load on the shared virtual warehouse, but it will also reduce the timeliness and usefulness of the reports for the business.
It will also not guarantee that the performance issues and time-outs will not occur at other times.
References:
Snowflake Architect Training
Snowflake SnowPro Advanced Architect Certification - Preparation Guide
SnowPro Advanced: Architect Exam Study Guide
NEW QUESTION # 45
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