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The SnowPro Advanced Architect Certification is a valuable credential for data architects and engineers who want to demonstrate their expertise in designing and implementing complex Snowflake solutions. SnowPro Advanced Architect Certification certification provides a competitive edge to professionals by showcasing their skills and knowledge in the field of data management, warehousing, and analytics. SnowPro Advanced Architect Certification certification is recognized globally by companies that use Snowflake for their data management needs.
Quiz 2026 Snowflake ARA-C01: SnowPro Advanced Architect Certification – High-quality Hottest CertificationLike other Snowflake examinations, the ARA-C01 exam preparation calls for a strong preparation and precise ARA-C01 practice material. Finding original and latest 121 exam questions however, is a difficult process. Candidates require assistance finding the ARA-C01 updated questions. It will be hard for applicants to pass the Snowflake ARA-C01 exam on their first try if SnowPro Advanced Architect Certification questions they have are not real and updated.
Snowflake SnowPro Advanced Architect Certification Sample Questions (Q101-Q106):NEW QUESTION # 101
A new user user_01 is created within Snowflake. The following two commands are executed:
Command 1-> show grants to user user_01;
Command 2 ~> show grants on user user 01;
What inferences can be made about these commands?
- A. Command 1 defines which role owns user_01
Command 2 defines all the grants which have been given to user_01 - B. Command 1 defines all the grants which are given to user_01
Command 2 defines which role owns user 01 - C. Command 1 defines all the grants which are given to user_01 Command 2 defines which user owns user_01
- D. Command 1 defines which user owns user_01
Command 2 defines all the grants which have been given to user_01
Answer: B
Explanation:
The SHOW GRANTS command in Snowflake can be used to list all the access control privileges that have been explicitly granted to roles, users, and shares. The syntax and the output of the command vary depending on the object type and the grantee type specified in the command1. In this question, the two commands have the following meanings:
* Command 1: show grants to user user_01; This command lists all the roles granted to the user user_01.
The output includes the role name, the grantee name, and the granted by role name for each grant. This command is equivalent to show grants to user current_user if user_01 is the current user1.
* Command 2: show grants on user user_01; This command lists all the privileges that have been granted on the user object user_01. The output includes the privilege name, the grantee name, and the granted by role name for each grant. This command shows which role owns the user object user_01, as the owner role has the privilege to modify or drop the user object2.
Therefore, the correct inference is that command 1 defines all the grants which are given to user_01, and command 2 defines which role owns user_01.
References:
* SHOW GRANTS
* Understanding Access Control in Snowflake
NEW QUESTION # 102
How can the Snowpipe REST API be used to keep a log of data load history?
- A. Call loadHistoryScan every minute for the maximum time range.
- B. Call insertReport every 20 minutes, fetching the last 10,000 entries.
- C. Call insertReport every 8 minutes for a 10-minute time range.
- D. Call loadHistoryScan every 10 minutes for a 15-minute time range.
Answer: D
Explanation:
Snowpipe is a service that automates and optimizes the loading of data from external stages into Snowflake tables. Snowpipe uses a queue to ingest files as they become available in the stage. Snowpipe also provides REST endpoints to load data and retrieve load history reports1.
The loadHistoryScan endpoint returns the history of files that have been ingested by Snowpipe within a specified time range. The endpoint accepts the following parameters2:
pipe: The fully-qualified name of the pipe to query.
startTimeInclusive: The start of the time range to query, in ISO 8601 format. The value must be within the past 14 days.
endTimeExclusive: The end of the time range to query, in ISO 8601 format. The value must be later than the start time and within the past 14 days.
recentFirst: A boolean flag that indicates whether to return the most recent files first or last. The default value is false, which means the oldest files are returned first.
showSkippedFiles: A boolean flag that indicates whether to include files that were skipped by Snowpipe in the response. The default value is false, which means only files that were loaded are returned.
The loadHistoryScan endpoint can be used to keep a log of data load history by calling it periodically with a suitable time range. The best option among the choices is D, which is to call loadHistoryScan every 10 minutes for a 15-minute time range. This option ensures that the endpoint is called frequently enough to capture the latest files that have been ingested, and that the time range is wide enough to avoid missing any files that may have been delayed or retried by Snowpipe. The other options are either too infrequent, too narrow, or use the wrong endpoint3.
Reference:
1: Introduction to Snowpipe | Snowflake Documentation
2: loadHistoryScan | Snowflake Documentation
3: Monitoring Snowpipe Load History | Snowflake Documentation
NEW QUESTION # 103
Following objects can be cloned in snowflake
- A. Internal stages
- B. Transient table
- C. Permanent table
- D. Temporary table
- E. External tables
Answer: B,C,E
Explanation:
* Snowflake supports cloning of various objects, such as databases, schemas, tables, stages, file formats, sequences, streams, tasks, and roles. Cloning creates a copy of an existing object in the system without copying the data or metadata. Cloning is also known as zero-copy cloning1.
* Among the objects listed in the question, the following ones can be cloned in Snowflake:
* Permanent table: A permanent table is a type of table that has a Fail-safe period and a Time Travel retention period of up to 90 days. A permanent table can be cloned using the CREATE TABLE ... CLONE command2. Therefore, option A is correct.
* Transient table: A transient table is a type of table that does not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. A transient table can also be cloned using the CREATE TABLE ... CLONE command2. Therefore, option B is correct.
* External table: An external table is a type of table that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table can be cloned using the CREATE EXTERNAL TABLE ... CLONE command3.
Therefore, option D is correct.
* The following objects listed in the question cannot be cloned in Snowflake:
* Temporary table: A temporary table is a type of table that is automatically dropped when the session ends or the current user logs out. Temporary tables do not support cloning4. Therefore, option C is incorrect.
* Internal stage: An internal stage is a type of stage that is managed by Snowflake and stores files in Snowflake's internal cloud storage. Internal stages do not support cloning5. Therefore, option E is incorrect.
Cloning Considerations : CREATE TABLE ... CLONE : CREATE EXTERNAL TABLE ...
CLONE : Temporary Tables : Internal Stages
NEW QUESTION # 104
The IT Security team has identified that there is an ongoing credential stuffing attack on many of their organization's system.
What is the BEST way to find recent and ongoing login attempts to Snowflake?
- A. Query the LOGIN_HISTORY view in the ACCOUNT_USAGE schema in the SNOWFLAKE database.
- B. View the History tab in the Snowflake UI and set up a filter for SQL text that contains the text "LOGIN".
- C. Call the LOGIN_HISTORY Information Schema table function.
- D. View the Users section in the Account tab in the Snowflake UI and review the last login column.
Answer: A
Explanation:
This view can be used to query login attempts by Snowflake users within the last 365 days (1 year). It provides information such as the event timestamp, the user name, the client IP, the authentication method, the success or failure status, and the error code or message if the login attempt was unsuccessful. By querying this view, the IT Security team can identify any suspicious or malicious login attempts to Snowflake and take appropriate actions to prevent credential stuffing attacks1. The other options are not the best ways to find recent and ongoing login attempts to Snowflake. Option A is incorrect because the LOGIN_HISTORY Information Schema table function only returns login events within the last 7 days, which may not be sufficient to detect credential stuffing attacks that span a longer period of time2. Option C is incorrect because the History tab in the Snowflake UI only shows the queries executed by the current user or role, not the login events of other users or roles3. Option D is incorrect because the Users section in the Account tab in the Snowflake UI only shows the last login time for each user, not the details of the login attempts or the failures.
NEW QUESTION # 105
An Architect wants to stream website logs near real time to Snowflake using the Snowflake Connector for Kafka.
What characteristics should the Architect consider regarding the different ingestion methods? (Select TWO).
- A. Snowpipe Streaming automatically flushes data every one second.
- B. Snowpipe Streaming supports schema detection.
- C. Snowpipe Streaming is the default ingestion method.
- D. Snowflake can handle jumps or resetting offsets by default.
- E. Snowpipe has lower latency than Snowpipe Streaming.
Answer: A,D
Explanation:
When using the Snowflake Connector for Kafka, architects must understand the behavior differences between Snowpipe (file-based) and Snowpipe Streaming. Snowpipe Streaming is optimized for low-latency ingestion and works by continuously sending records directly into Snowflake-managed channels rather than staging files. One important characteristic is that Snowpipe Streaming automatically flushes buffered records at short, fixed intervals (approximately every second), ensuring near real-time data availability (Answer D).
Another key consideration is offset handling. The Snowflake Connector for Kafka is designed to tolerate Kafka offset jumps or resets, such as those caused by topic reprocessing or consumer group changes.
Snowflake can safely ingest records without corrupting state, relying on Kafka semantics and connector metadata to maintain consistency (Answer E).
Snowpipe Streaming is not always the default ingestion method; configuration determines whether file-based Snowpipe or Streaming is used. Schema detection is not supported in Snowpipe Streaming. Traditional Snowpipe does not offer lower latency than Snowpipe Streaming. For the SnowPro Architect exam, understanding ingestion latency, buffering behavior, and fault tolerance is essential when designing streaming architectures.
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NEW QUESTION # 106
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