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Snowflake ARA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Architect Certification Exam
Exam Number:ARA-C01
Available Languages:English
Real Exam Qty:65
Related Certifications:SnowPro Advanced: Data Engineer
SnowPro Core
SnowPro Advanced: Data Analyst
Exam Format:Multiple Select, Multiple Choice
Certificate Validity Period:2 years
Passing Score:750 / 1000
Exam Duration:115 minutes
Exam Price:USD 375
Recommended Training:Snowflake Advanced Architect Learning Path
Snowflake Documentation
Exam Registration:Snowflake Certification Portal
Pearson VUE Registration
Sample Questions:Snowflake ARA-C01 Sample Questions
Exam Way:Online proctored or Onsite testing center
Pre Condition:Recommended: SnowPro Core certification + 2+ years hands-on experience as Snowflake Architect in production environment
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-architect/

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a certification exam that validates the skills and knowledge required to design and implement complex Snowflake solutions. It is a professional-level certification that is designed for architects who have extensive experience working with Snowflake and want to demonstrate their expertise in the field. ARA-C01 exam tests the aspirant's ability to design, architect, and implement Snowflake solutions that meet complex business requirements.

In order to prepare for the SnowPro Advanced Architect Certification exam, candidates can take advantage of various resources provided by Snowflake, such as training courses, study guides, and practice exams. Additionally, candidates can also benefit from hands-on experience working with Snowflake's cloud data platform, as well as collaborating with other Snowflake experts and architects.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q226-Q231):

NEW QUESTION # 226
Which system functions does Snowflake provide to monitor clustering information within a table (Choose two.)

Answer: A,E

Explanation:
According to the Snowflake documentation, these two system functions are provided by Snowflake to monitor clustering information within a table. A system function is a type of function that allows executing actions or returning information about the system. A clustering key is a feature that allows organizing data across micro-partitions based on one or more columns in the table. Clustering can improve query performance by reducing the number of files to scan.
* SYSTEM$CLUSTERING_INFORMATION is a system function that returns clustering information, including average clustering depth, for a table based on one or more columns in the table. The function takes a table name and an optional column name or expression as arguments, and returns a JSON string with the clustering information. The clustering information includes the cluster by keys, the total partition count, the total constant partition count, the average overlaps, and the average depth1.
* SYSTEM$CLUSTERING_DEPTH is a system function that returns the clustering depth for a table based on one or more columns in the table. The function takes a table name and an optional column name or expression as arguments, and returns an integer value with the clustering depth. The clustering depth is the maximum number of overlapping micro-partitions for any micro-partition in the table. A lower clustering depth indicates a better clustering2.
References:
* SYSTEM$CLUSTERING_INFORMATION | Snowflake Documentation
* SYSTEM$CLUSTERING_DEPTH | Snowflake Documentation


NEW QUESTION # 227
For which use cases, will you use cross-cloud and cross-region replication?

Answer: C


NEW QUESTION # 228
Which command below will only copy the table structure from the existing table to the new table?

Answer: B


NEW QUESTION # 229
EXECUTE TASK privilege can be granted by whom

Answer: C


NEW QUESTION # 230
Following objects can be cloned in snowflake

Answer: A,C,D

Explanation:
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.
References: : Cloning Considerations : CREATE TABLE ... CLONE : CREATE EXTERNAL TABLE ...
CLONE : Temporary Tables : Internal Stages


NEW QUESTION # 231
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