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To be eligible for the Snowflake ARA-C01 exam, candidates must have already achieved the SnowPro Core Certification and the SnowPro Advanced Certification. The ARA-C01 exam is a rigorous and comprehensive assessment of a candidate's knowledge and skills related to Snowflake architecture, design, and implementation. ARA-C01 Exam consists of 60 multiple-choice questions that must be completed within 120 minutes.

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q95-Q100):

NEW QUESTION # 95
Secure views cannot take advantage of the internal optimizations which require access to the underlying data in the base tables for the view.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 96
A table contains five columns and it has millions of records. The cardinality distribution of the columns is shown below:

Column C4 and C5 are mostly used by SELECT queries in the GROUP BY and ORDER BY clauses. Whereas columns C1, C2 and C3 are heavily used in filter and join conditions of SELECT queries.
The Architect must design a clustering key for this table to improve the query performance.
Based on Snowflake recommendations, how should the clustering key columns be ordered while defining the multi-column clustering key?

A. C3, C4, C5
B. C2, C1, C3
C. C1, C3, C2
D. C5, C4, C2

Answer: B

NEW QUESTION # 97
An Architect has chosen to separate their Snowflake Production and QA environments using two separate Snowflake accounts.
The QA account is intended to run and test changes on data and database objects before pushing those changes to the Production account. It is a requirement that all database objects and data in the QA account need to be an exact copy of the database objects, including privileges and data in the Production account on at least a nightly basis.
Which is the LEAST complex approach to use to populate the QA account with the Production account's data and database objects on a nightly basis?

A. 1) Enable replication for each database in the Production account
2) Create replica databases in the QA account
3) Create clones of the replica databases on a nightly basis
4) Run tests directly on those cloned databases
B. 1) Create a share in the Production account for each database
2) Share access to the QA account as a Consumer
3) The QA account creates a database directly from each share
4) Create clones of those databases on a nightly basis
5) Run tests directly on those cloned databases
C. 1) Create a stage in the Production account
2) Create a stage in the QA account that points to the same external object-storage location
3) Create a task that runs nightly to unload each table in the Production account into the stage
4) Use Snowpipe to populate the QA account
D. 1) In the Production account, create an external function that connects into the QA account and returns all the data for one specific table
2) Run the external function as part of a stored procedure that loops through each table in the Production account and populates each table in the QA account

Answer: A

Explanation:
Explanation
* This approach is the least complex because it uses Snowflake's built-in replication feature to copy the data and database objects from the Production account to the QA account. Replication is a fast and efficient way to synchronize data across accounts, regions, and cloud platforms. It also preserves the privileges and metadata of the replicated objects. By creating clones of the replica databases, the QA account can run tests on the cloned data without affecting the original data. Clones are also zero-copy, meaning they do not consume any additional storage space unless the data is modified. This approach does not require any external stages, tasks, Snowpipe, or external functions, which can add complexity and overhead to the data transfer process.
References:
* Introduction to Replication and Failover
* Replicating Databases Across Multiple Accounts
* Cloning Considerations

NEW QUESTION # 98
A company's daily Snowflake workload consists of a huge number of concurrent queries triggered between 9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.
What configuration can the company's Architect implement to enhance the performance of this workload? (Choose two.)

A. Set the connection timeout to a higher value than its default.
B. Enable a multi-clustered virtual warehouse in maximized mode during the workload duration.
C. Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.
D. Reduce the amount of data that is being processed through this workload.
E. Increase the size of the virtual warehouse to size X-Large.

Answer: B,C

Explanation:
These two configuration options can enhance the performance of the workload that consists of a huge number of concurrent queries that are smaller and faster.
Enabling a multi-clustered virtual warehouse in maximized mode allows the warehouse to scale out automatically by adding more clusters as soon as the current cluster is fully loaded, regardless of the number of queries in the queue. This can improve the concurrency and throughput of the workload by minimizing or preventing queuing. The maximized mode is suitable for workloads that require high performance and low latency, and are less sensitive to credit consumption1.
Setting the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level allows the warehouse to run more queries concurrently on each cluster. This can improve the utilization and efficiency of the warehouse resources, especially for smaller and faster queries that do not require a lot of processing power. The MAX_CONCURRENCY_LEVEL parameter can be set when creating or modifying a warehouse, and it can be changed at any time2.
Reference:
Snowflake Documentation: Scaling Policy for Multi-cluster Warehouses
Snowflake Documentation: MAX_CONCURRENCY_LEVEL

NEW QUESTION # 99
An Architect runs the following SQL query:

How can this query be interpreted?

A. FILERONS is the file format location. FILE_ROW_NUMBER is a stage.
B. FILEROWS is a file. FILE_ROW_NUMBER is the file format location.
C. FILEROWS is a stage. FILE_ROW_NUMBER is line number in file.
D. FILEROWS is the table. FILE_ROW_NUMBER is the line number in the table.

Answer: C

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.
Reference:
1: Stages
2: LIST Function

NEW QUESTION # 100
......

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