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Earning the Snowflake ARA-C01: SnowPro Advanced Architect Certification demonstrates a high level of expertise and proficiency in designing and implementing complex data solutions using Snowflake’s cloud data platform. It signifies that the candidate has the skills and knowledge required to deliver successful Snowflake solutions that meet the highest standards of performance, security, and scalability. It is a valuable credential for professionals who want to advance their careers in the field of data analytics and cloud computing.
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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a highly sought-after certification in the data world. SnowPro Advanced Architect Certification certification is designed for professionals who have a deep understanding of Snowflake's cloud data platform and have expertise in designing and implementing complex data solutions. ARA-C01 exam tests the candidate's knowledge of Snowflake's architecture, data warehousing concepts, security and access control, performance tuning, and other advanced features.
Snowflake ARA-C01 Exam is a challenging test that requires a thorough understanding of Snowflake's architecture and best practices. ARA-C01 exam consists of 60 multiple-choice questions, and candidates have 120 minutes to complete the test. To pass the exam, candidates must score at least 80% or higher. The Snowflake ARA-C01 certification is valid for two years, after which candidates must retake the exam to maintain their certification.
NEW QUESTION # 186
You have create a task as below
CREATE TASK mytask1
WAREHOUSE = mywh
SCHEDULE = '5 minute'
WHEN
SYSTEM$STREAM_HAS_DATA('MYSTREAM')
AS
INSERT INTO mytable1(id,name) SELECT id, name FROM mystream WHERE METADATA$ACTION = 'INSERT';
Which statement is true below?
Answer: C
NEW QUESTION # 187
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:
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.
References: : Transient Tables : Temporary Tables : Understanding & Using Time Travel
NEW QUESTION # 188
A query shows a high number of bytes spilled to remote storage. The query includes a WHERE clause that filters out a large percentage of rows.
What actions can reduce spillage and improve performance? (Select TWO).
Answer: B,E
Explanation:
Bytes spilled to remote storage indicate memory pressure during query execution. Increasing the warehouse size provides more memory and compute resources, reducing the likelihood of spilling (Answer A).
Additionally, defining clustering keys on highly selective filter columns improves micro-partition pruning, which reduces the volume of data scanned and processed in memory (Answer C). Together, these actions address both the root cause (too much data scanned) and the symptom (insufficient memory).
Increasing clusters improves concurrency, not per-query memory. Primary and foreign keys are informational only in Snowflake and do not affect execution plans. Retention settings have no impact on query execution.
This question reinforces SnowPro Architect performance diagnostics: understand both physical execution (memory, spill) and logical data access (pruning).
NEW QUESTION # 189
Which copy options are not supported by CREATE PIPE...AS COPY FROM command?
Answer: A,B,C,D,E
NEW QUESTION # 190
A data ingestion pipeline loads data randomly throughout the day. A requirement states that data must be processed within 10 minutes of landing in Snowflake.
What is the MOST cost-effective solution?
Answer: C
Explanation:
Streams and tasks are Snowflake's native mechanism for incremental data processing. A stream tracks row- level changes (inserts, updates, deletes) on a table, while tasks enable scheduled or conditional execution of SQL statements.
Using SYSTEM$STREAM_HAS_DATA allows the task to run only when new data is available, avoiding unnecessary compute usage (Answer D). This makes the solution both timely-meeting the 10-minute SLA- and cost-efficient, as compute resources are consumed only when there is work to do.
Views alone do not materialize transformations and still require compute at query time. Third-party orchestration introduces unnecessary operational overhead and cost. Running a task on a fixed schedule without checking stream data would waste compute cycles.
This pattern-streams + tasks with conditional execution-is a core SnowPro Architect design pattern for efficient, low-latency data pipelines.
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NEW QUESTION # 191
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