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Snowflake ARA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Accounts and Security25%- Access Control and Authentication
  • 1. SSO and MFA
  • 2. Data masking and row access policies
  • 3. Network policies
  • 4. Role-based access control
- Governance and Compliance
  • 1. Encryption and security architecture
  • 2. Object ownership and privilege management
  • 3. Data governance strategies
Topic 2: Performance Optimization20%- Cost and Resource Optimization
  • 1. Warehouse cost optimization
  • 2. Concurrency scaling
  • 3. Resource monitors
- Query Performance
  • 1. Search optimization service
  • 2. Caching strategies
  • 3. Query profiling and tuning
  • 4. Materialized views
Topic 3: Snowflake Architecture30%- Storage and Compute Design
  • 1. Database and schema design
  • 2. Warehouse sizing and scaling
  • 3. Micro-partitions and clustering
- Platform Architecture Design
  • 1. Cross-region and cross-cloud architecture
  • 2. Organization and account structure
  • 3. Data sharing architecture
  • 4. Multi-account strategies
Topic 4: Data Engineering25%- Data Transformation
  • 1. ETL and ELT design
  • 2. Semi-structured data processing
  • 3. Data modeling strategies
- Data Loading and Pipelines
  • 1. Snowpipe and tasks
  • 2. External stages and file formats
  • 3. Bulk and continuous data loading
  • 4. Streams and CDC

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q227-Q232):

NEW QUESTION # 227
An Architect runs the following SQL query:

How can this query be interpreted?

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.
References:
* : Stages
* : LIST Function


NEW QUESTION # 228
An Architect Is designing a data lake with Snowflake. The company has structured, semi-structured, and unstructured dat a. The company wants to save the data inside the data lake within the Snowflake system. The company is planning on sharing data among Its corporate branches using Snowflake data sharing.
What should be considered when sharing the unstructured data within Snowflake?

Answer: A

Explanation:
According to the Snowflake documentation, unstructured data files can be shared by using a secure view and Secure Data Sharing. A secure view allows the result of a query to be accessed like a table, and a secure view is specifically designated for data privacy. A scoped URL is an encoded URL that permits temporary access to a staged file without granting privileges to the stage. The URL expires when the persisted query result period ends, which is currently 24 hours. A scoped URL is recommended for file administrators to give scoped access to data files to specific roles in the same account. Snowflake records information in the query history about who uses a scoped URL to access a file, and when. Therefore, a scoped URL is the best option to share unstructured data within Snowflake, as it provides security, accountability, and control over the data access. Reference:
Sharing unstructured Data with a secure view
Introduction to Loading Unstructured Data


NEW QUESTION # 229
Data replication in snowflake helps in

Answer: B,C,D


NEW QUESTION # 230
An Architect is troubleshooting a query with poor performance using the QUERY_HIST0RY function. The Architect observes that the COMPILATIONJHME is greater than the EXECUTIONJTIME.
What is the reason for this?

Answer: C


NEW QUESTION # 231
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

Answer: A

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.
Transient Tables : Temporary Tables : Understanding & Using Time Travel


NEW QUESTION # 232
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