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Snowflake ARA-C01 Valid Exam Pdf - Latest ARA-C01 Training

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Snowflake ARA-C01 Certification Exam is an advanced-level exam that requires a deep understanding of Snowflake's architecture and best practices. ARA-C01 exam is designed to test an individual's ability to design and build scalable, secure, and high-performing data solutions on the Snowflake platform. ARA-C01 exam is intended for professionals who have several years of experience in data architecture and engineering and are seeking to validate their skills and demonstrate their expertise in the Snowflake ecosystem. Passing the SnowPro Advanced Architect Certification Exam can help professionals gain recognition in the industry and demonstrate their competence to potential employers.

Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a cloud-based certification exam that is designed to validate the advanced skills and knowledge of Snowflake architects. SnowPro Advanced Architect Certification certification exam is intended for those professionals who possess a deep understanding of Snowflake data warehouses and their architecture, and who can design and implement complex Snowflake solutions using best practices. The SnowPro Advanced Architect Certification Exam is a vendor-neutral certification, which means that it is not affiliated with any particular vendor or technology.

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ARA-C01 practice tests

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q75-Q80):

NEW QUESTION # 75
An Architect runs the following SQL query:

How can this query be interpreted?

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

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 # 76
You are a snowflake architect in an organization. The business team came to to deploy an use case which requires you to load some data which they can visualize through tableau. Everyday new data comes in and the old data is no longer required.
What type of table you will use in this case to optimize cost

A. TEMPORARY
B. TRANSIENT
C. PERMANENT

Answer: B

Explanation:
* A transient table is a type of table in Snowflake that does not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. Transient tables are suitable for temporary or intermediate data that can be easily reproduced or replicated1.
* A temporary table is a type of table in Snowflake that is automatically dropped when the session ends or the current user logs out. Temporary tables do not incur any storage costs, but they are not visible to other users or sessions2.
* A permanent table is a type of table in Snowflake that has a Fail-safe period and a Time Travel retention period of up to 90 days. Permanent tables are suitable for persistent and durable data that needs to be protected from accidental or malicious deletion3.
* In this case, the use case requires loading some data that can be visualized through Tableau. The data is updated every day and the old data is no longer required. Therefore, the best type of table to use in this
* case to optimize cost is a transient table, because it does not incur any Fail-safe costs and it can have a short Time Travel retention period of 0 or 1 day. This way, the data can be loaded and queried by Tableau, and then deleted or overwritten without incurring any unnecessary storage costs.
References: : Transient Tables : Temporary Tables : Understanding & Using Time Travel

NEW QUESTION # 77
There are two databases in an account, named fin_db and hr_db which contain payroll and employee data, respectively. Accountants and Analysts in the company require different permissions on the objects in these databases to perform their jobs. Accountants need read-write access to fin_db but only require read-only access to hr_db because the database is maintained by human resources personnel.
An Architect needs to create a read-only role for certain employees working in the human resources department.
Which permission sets must be granted to this role?

A. USAGE on database hr_db, USAGE on all schemas in database hr_db, REFERENCES on all tables in database hr_db
B. MODIFY on database hr_db, USAGE on all schemas in database hr_db, USAGE on all tables in database hr_db
C. USAGE on database hr_db, USAGE on all schemas in database hr_db, SELECT on all tables in database hr_db
D. USAGE on database hr_db, SELECT on all schemas in database hr_db, SELECT on all tables in database hr_db

Answer: C

NEW QUESTION # 78
What step will improve the performance of queries executed against an external table?

A. Use an internal stage instead of an external stage to store the source files.
B. Convert the source files' character encoding to UTF-8.
C. Partition the external table.
D. Shorten the names of the source files.

Answer: C

Explanation:
Partitioning an external table is a technique that improves the performance of queries executed against the table by reducing the amount of data scanned. Partitioning an external table involves creating one or more partition columns that define how the table is logically divided into subsets of data based on the values in those columns. The partition columns can be derived from the file metadata (such as file name, path, size, or modification time) or from the file content (such as a column value or a JSON attribute). Partitioning an external table allows the query optimizer to prune the files that do not match the query predicates, thus avoiding unnecessary data scanning and processing2 The other options are not effective steps for improving the performance of queries executed against an external table:
* Shorten the names of the source files. This option does not have any impact on the query performance, as the file names are not used for query processing. The file names are only used for creating the external table and displaying the query results3
* Convert the source files' character encoding to UTF-8. This option does not affect the query performance, as Snowflake supports various character encodings for external table files, such as UTF-8,
* UTF-16, UTF-32, ISO-8859-1, and Windows-1252. Snowflake automatically detects the character encoding of the files and converts them to UTF-8 internally for query processing4
* Use an internal stage instead of an external stage to store the source files. This option is not applicable, as external tables can only reference files stored in external stages, such as Amazon S3, Google Cloud Storage, or Azure Blob Storage. Internal stages are used for loading data into internal tables, not external tables5 References:
* 1: SnowPro Advanced: Architect | Study Guide
* 2: Snowflake Documentation | Partitioning External Tables
* 3: Snowflake Documentation | Creating External Tables
* 4: Snowflake Documentation | Supported File Formats and Compression for Staged Data Files
* 5: Snowflake Documentation | Overview of Stages
* : SnowPro Advanced: Architect | Study Guide
* : Partitioning External Tables
* : Creating External Tables
* : Supported File Formats and Compression for Staged Data Files
* : Overview of Stages

NEW QUESTION # 79
Data replication in snowflake helps in

A. Data sharing
B. Disaster recovery
C. Account Migration
D. Fail safe

Answer: A,B,C

NEW QUESTION # 80
......

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