Free Preparation Discussions
MENU
Snowflake ARA-C01 Exam Questions
- Topic 1: Design data sharing solutions, based on different use cases/ Determine the appropriate data transformation solution to meet business needs
- Topic 2: Design a Snowflake account and database strategy, based on business requirements/ Troubleshoot performance issues with existing architectures
- Topic 3: Outline the benefits and limitations of various data models in a Snowflake environment/ Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake
- Topic 4: Outline performance tools, best practices, and appropriate scenarios where they should be applied/ Determine the appropriate data recovery solution in Snowflake and how data can be restored
- Topic 5: Determine the appropriate data loading or data unloading solution to meet business needs/ Design an architecture that meets data security, privacy, compliance, and governance requirements
- Topic 6: Create architecture solutions that support Development Lifecycles as well as workload requirements/ Outline Snowflake security principles and identify use cases where they should be applied
Free Snowflake ARA-C01 Exam Actual Questions
Note: Premium Questions for ARA-C01 were last updated On Aug. 16, 2025 (see below)
Data is being imported and stored as JSON in a VARIANT column. Query performance was fine, but most recently, poor query performance has been reported.
What could be causing this?
Data is being imported and stored as JSON in a VARIANT column. Query performance was fine, but most recently, poor query performance has been reported. This could be caused by the following factors:
The order of the keys in the JSON was changed. Snowflake stores semi-structured data internally in a column-like structure for the most common elements, and the remainder in a leftovers-like column. The order of the keys in the JSON affects how Snowflake determines the common elements and how it optimizes the query performance. If the order of the keys in the JSON was changed, Snowflake might have to re-parse the data and re-organize the internal storage, which could result in slower query performance.
There were variations in string lengths for the JSON values in the recent data imports. Non-native values, such as dates and timestamps, are stored as strings when loaded into a VARIANT column. Operations on these values could be slower and also consume more space than when stored in a relational column with the corresponding data type. If there were variations in string lengths for the JSON values in the recent data imports, Snowflake might have to allocate more space and perform more conversions, which could also result in slower query performance.
The other options are not valid causes for poor query performance:
There were JSON nulls in the recent data imports. Snowflake supports two types of null values in semi-structured data: SQL NULL and JSON null. SQL NULL means the value is missing or unknown, while JSON null means the value is explicitly set to null. Snowflake can distinguish between these two types of null values and handle them accordingly. Having JSON nulls in the recent data imports should not affect the query performance significantly.
The recent data imports contained fewer fields than usual. Snowflake can handle semi-structured data with varying schemas and fields. Having fewer fields than usual in the recent data imports should not affect the query performance significantly, as Snowflake can still optimize the data ingestion and query execution based on the existing fields.
Considerations for Semi-structured Data Stored in VARIANT
Snowflake query performance on unique element in variant column
A user has the appropriate privilege to see unmasked data in a column.
If the user loads this column data into another column that does not have a masking policy, what will occur?
According to the SnowPro Advanced: Architect documents and learning resources, column masking policies are applied at query time based on the privileges of the user who runs the query. Therefore, if a user has the privilege to see unmasked data in a column, they will see the original data when they query that column. If they load this column data into another column that does not have a masking policy, the unmasked data will be loaded in the new column, and any user who can query the new column will see the unmasked data as well. The masking policy does not affect the underlying data in the column, only the query results.
Snowflake Documentation: Column Masking
Snowflake Learning: Column Masking
What is the MOST efficient way to design an environment where data retention is not considered critical, and customization needs are to be kept to a minimum?
Transient databases in Snowflake are designed for situations where data retention is not critical, and they do not have the fail-safe period that regular databases have. This means that data in a transient database is not recoverable after the Time Travel retention period. Using a transient database is efficient because it minimizes storage costs while still providing most functionalities of a standard database without the overhead of data protection features that are not needed when data retention is not a concern.
Which feature provides the capability to define an alternate cluster key for a table with an existing cluster key?
The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?
A)
B)
C)
D)
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Kimberlie
1 months agoLashawnda
1 months agoMyra
2 months agoGene
2 months agoCyndy
2 months agoIlene
3 months agoLenora
4 months agoMargery
4 months agoNan
5 months agoRosendo
5 months agoOlga
5 months agoAlex
6 months agoOretha
6 months agoAileen
6 months agoKati
7 months agoCarole
7 months agoGraciela
7 months agoFausto
7 months agoNickole
8 months agoShayne
8 months agoCory
8 months agoTruman
8 months agoKayleigh
8 months agoYoko
9 months agoJulian
9 months agoEttie
9 months agoElliott
9 months agoZana
9 months agoRolande
10 months agoJohnetta
10 months agoJolanda
10 months agoPatrick
10 months agoNoble
10 months agoWade
11 months agoHollis
11 months agoArminda
11 months agoLayla
11 months agoMable
11 months agoRozella
12 months agoThaddeus
1 years agoOlive
1 years agoGianna
1 years agoGerman
1 years agoJaclyn
1 years agoDorathy
1 years agoBelen
1 years agoLindsey
1 years agoRickie
1 years agoGennie
1 years agoStephania
1 years ago