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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Performance Optimization	20%	- Clustering and partitioning strategies - Query performance tuning - Cost optimization and resource management - Virtual warehouse configuration and sizing
Data Engineering	25%	- Data pipeline and integration design - Transformation and processing frameworks - Data loading and unloading solutions
Snowflake Architecture	30%	- Data protection and recovery strategies - Development lifecycle and workload support - Object hierarchy and architectural impact - Data modeling and use cases - Data sharing architecture design
Accounts and Security	25%	- Account and database strategy design - Security principles and implementation scenarios - Security, compliance and governance architecture

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q14-Q19):

NEW QUESTION # 14
What is a characteristic of event notifications in Snowpipe?

A. The load history is stored In the metadata of the target table.
B. Notifications identify the cloud storage event and the actual data in the files.
C. When a pipe Is paused, event messages received for the pipe enter a limited retention period.
D. Snowflake can process all older notifications when a paused pipe Is resumed.

Answer: C

Explanation:
Event notifications in Snowpipe are messages sent by cloud storage providers to notify Snowflake of new or modified files in a stage. Snowpipe uses these notifications to trigger data loading from the stage to the target table. When a pipe is paused, event messages received for the pipe enter a limited retention period, which varies depending on the cloud storage provider. If the pipe is not resumed within the retention period, the event messages will be discarded and the data will not be loaded automatically. To load the data, the pipe must be resumed and the COPY command must be executed manually. This is a characteristic of event notifications in Snowpipe that distinguishes them from other options. References: Snowflake Documentation: Using Snowpipe, Snowflake Documentation: Pausing and Resuming a Pipe

NEW QUESTION # 15
When using the Snowflake Connector for Kafka, what data formats are supported for the messages? (Choose two.)

A. Avro
B. JSON
C. Parquet
D. CSV
E. XML

Answer: A,B

Explanation:
Explanation
The data formats that are supported for the messages when using the Snowflake Connector for Kafka are Avro and JSON. These are the two formats that the connector can parse and convert into Snowflake table rows. The connector supports both schemaless and schematized JSON, as well as Avro with or without a schema registry1. The other options are incorrect because they are not supported data formats for the messages. CSV, XML, and Parquet are not formats that the connector can parse and convert into Snowflake table rows. If the messages are in these formats, the connector will load them as VARIANT data type and store them as raw strings in the table2. References: Snowflake Connector for Kafka | Snowflake Documentation, Loading Protobuf Data using the Snowflake Connector for Kafka | Snowflake Documentation

NEW QUESTION # 16
What is a valid object hierarchy when building a Snowflake environment?

A. Account --> Database --> Schema --> Warehouse
B. Organization --> Account --> Stage --> Table --> View
C. Organization --> Account --> Database --> Schema --> Stage
D. Account --> Schema > Table --> Stage

Answer: C

NEW QUESTION # 17
An Architect is using an event table associated with a Sales database (sales_db) to track logging and tracing of procedures and functions. The event table is also used to refresh dynamic tables.
A stored procedure causing issues resides in the Marketing database (marketing_db). Both databases are in the same Snowflake account. The Marketing database is not associated with a specific event table.
How can the Architect investigate the issue?

A. Add a new event table and associate it with the Snowflake account.
B. Query the event table SNOWFLAKE.TELEMETRY.EVENTS.
C. Add a new event table and associate it with the Marketing database.
D. Query the event table MARKETING_DB.TELEMETRY.EVENTS.

Answer: B

Explanation:
Snowflake event tables capture logs, traces, and metrics generated by Snowflake features such as stored procedures, functions, and dynamic tables. When a database does not have an explicitly associated event table, Snowflake writes telemetry data to the default account-level event table, which is exposed through SNOWFLAKE.TELEMETRY.EVENTS.
Since the problematic stored procedure resides in marketing_db, and that database is not associated with its own event table, the relevant telemetry data will not appear in sales_db's event table. Instead, it will be recorded in the account-level telemetry view. Querying SNOWFLAKE.TELEMETRY.EVENTS allows the Architect to analyze logs and traces across databases within the same account.
Creating additional event tables is unnecessary for investigation, and querying MARKETING_DB.
TELEMETRY.EVENTS is invalid because no such association exists. From a SnowPro Architect perspective, this question validates understanding of event table scope, default telemetry behavior, and effective troubleshooting of Snowflake-native observability features.
=========

NEW QUESTION # 18
You ran a query and the query
SELECT * FROM inventory WHERE BIBNUMBER = 2805127;
The query profile looks as below. If you would like to further tune the query, what is the best thing to do?

A. Execute the below query to enable auto clustering
B. Divide the table into multiple smaller tables
C. alter table inventory cluster by (BIBNUMBER);
D. Create an index on column BIBNUMBER

Answer: C

NEW QUESTION # 19
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