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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
Data Architecture and Design	- Design scalable Snowflake architectures 1. Multi-cluster virtual warehouse design 2. Account and environment strategy - Data modeling and schema design 1. Star and snowflake schema concepts 2. Semi-structured data modeling
Data Sharing and Collaboration	- Secure data sharing 1. Data marketplace concepts 2. Cross-account data sharing
Performance and Optimization	- Query performance tuning 1. Query profiling and optimization techniques 2. Warehouse sizing and scaling - Cost optimization 1. Resource monitoring and cost control 2. Storage and compute efficiency
Security, Governance, and Compliance	- Access control and security model 1. Network security and authentication 2. Role-based access control (RBAC) - Data governance 1. Data classification and masking policies 2. Audit and compliance features
Data Pipelines and Data Engineering	- Data ingestion and transformation 1. Snowpipe and continuous data loading 2. Batch and streaming ingestion - Data orchestration 1. Pipeline design patterns 2. Tasks and Streams usage

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q133-Q138):

NEW QUESTION # 133
An Architect plans to stream data using the Snowflake Connector for Kafka in Snowpipe.
What setting will optimize costs?

A. Maximize the number of micro-partitions.
B. Set buffer.count.records = 1.
C. Set buffer.size.bytes = 10 MB.
D. Set buffer.flush.time = 1.

Answer: C

Explanation:
When using the Snowflake Connector for Kafka with Snowpipe, cost efficiency depends on batching data into appropriately sized files before ingestion. Snowflake charges Snowpipe costs based on the number of files ingested and compute used for loading. Very small files significantly increase overhead and cost.
Setting buffer.size.bytes = 10 MB allows the connector to batch records into reasonably sized files before flushing them to Snowflake (Answer C). This strikes a balance between ingestion latency and cost efficiency and aligns with Snowflake best practices for streaming ingestion. Extremely small buffer sizes or very frequent flush intervals (such as 1 record or 1 second) lead to excessive file creation and higher Snowpipe costs.
Maximizing micro-partitions is not configurable directly and is counterproductive for cost and performance.
For SnowPro Architect candidates, this question emphasizes the importance of batching and file sizing strategies when designing streaming ingestion pipelines with Kafka and Snowpipe.
=========

NEW QUESTION # 134
An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?

A. Search optimization service
B. Zero-copy cloning
C. Time Travel
D. Secure views
E. Materialized view

Answer: B

Explanation:
Zero-copy cloning is a Snowflake feature that can be used to save quarter-end financial results for the previous six years. Zero-copy cloning allows creating a copy of a database, schema, table, or view without duplicating the data or metadata. The clone shares the same data files as the original object, but tracks any changes made to the clone or the original separately. Zero-copy cloning can be used to create snapshots of data at different points in time, such as quarter-end financial results, and preserve them for future analysis or comparison. Zero-copy cloning is fast, efficient, and does not consume any additional storage space unless the data is modified1.
Zero-Copy Cloning | Snowflake Documentation

NEW QUESTION # 135
When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur?

A. All rows loaded using a specific COPY statement will have the same timestamp value.
B. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.
C. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.
D. All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.

Answer: A

Explanation:
According to the Snowflake documentation, when loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP(), the default value is evaluated once per COPY statement, not once per row. Therefore, all rows loaded using a specific COPY statement will have the same timestamp value. This behavior ensures that the timestamp value reflects the time when the data was loaded into the table, not when the data was read from the source or created in the source. Reference:
Snowflake Documentation: Loading Data into Tables with Default Values
Snowflake Documentation: COPY INTO table

NEW QUESTION # 136
What considerations need to be taken when using database cloning as a tool for data lifecycle management in a development environment? (Select TWO).

A. The clone inherits all granted privileges of all child objects in the source object, excluding the database.
B. The clone inherits all granted privileges of all child objects in the source object, including the database.
C. Any pipes in the source referring to external stages are not cloned.
D. Any pipes in the source are not cloned.
E. Any pipes in the source referring to internal stages are not cloned.

Answer: C,E

NEW QUESTION # 137
One of your colleagues has submitted a long running query in Snowflake. how long the query can run till snowflake automatically cancels the query?

A. 14 hours
B. 2 hours
C. 24 hours
D. 2 days

Answer: D

NEW QUESTION # 138
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