Snowflake ARA-C01 Exam - Topic 6 Question 42 Discussion

Actual exam question for Snowflake's ARA-C01 exam

Question #: 42
Topic #: 6

A group of Data Analysts have been granted the role analyst role. They need a Snowflake database where they can create and modify tables, views, and other objects to load with their own data. The Analysts should not have the ability to give other Snowflake users outside of their role access to this data.

How should these requirements be met?

AGrant ANALYST_R0LE OWNERSHIP on the database, but make sure that ANALYST_ROLE does not have the MANAGE GRANTS privilege on the account.

BGrant SYSADMIN ownership of the database, but grant the create schema privilege on the database to the ANALYST_ROLE.

CMake every schema in the database a managed access schema, owned by SYSADMIN, and grant create privileges on each schema to the ANALYST_ROLE for each type of object that needs to be created.

DGrant ANALYST_ROLE ownership on the database, but grant the ownership on future [object type] s in database privilege to SYSADMIN.

Show Suggested Answer

Suggested Answer: A

The correct answer is A because it improves the performance of queries by reducing the amount of data scanned and processed. By adding a create_date field with a timestamp data type, Snowflake can automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This avoids the need to parse the JSON data and access the variant field for every record.

Option B is incorrect because it does not improve the performance of queries. By adding a create_date field with a varchar data type, Snowflake cannot automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This still requires parsing the JSON data and accessing the variant field for every record.

Option C is incorrect because it does not address the root cause of the performance issue. By validating the size of the warehouse being used, Snowflake can adjust the compute resources to match the data volume and parallelize the query execution. However, this does not reduce the amount of data scanned and processed, which is the main bottleneck for queries on JSON data.

Option D is incorrect because it adds unnecessary complexity and overhead to the data loading and querying process. By incorporating the use of multiple tables partitioned by date ranges, Snowflake can reduce the amount of data scanned and processed for queries that specify a date range. However, this requires creating and maintaining multiple tables, loading data into the appropriate table based on the date, and joining the tables for queries that span multiple date ranges.Reference:

Snowflake Documentation: Loading Data Using Snowpipe: This document explains how to use Snowpipe to continuously load data from external sources into Snowflake tables. It also describes the syntax and usage of the COPY INTO command, which supports various options and parameters to control the loading behavior, such as ON_ERROR, PURGE, and SKIP_FILE.

Snowflake Documentation: Date and Time Data Types and Functions: This document explains the different data types and functions for working with date and time values in Snowflake. It also describes how to set and change the session timezone and the system timezone.

Snowflake Documentation: Querying Metadata: This document explains how to query the metadata of the objects and operations in Snowflake using various functions, views, and tables. It also describes how to access the copy history information using the COPY_HISTORY function or the COPY_HISTORY view.

Snowflake Documentation: Loading JSON Data: This document explains how to load JSON data into Snowflake tables using various methods, such as the COPY INTO command, the INSERT command, or the PUT command. It also describes how to access and query JSON data using the dot notation, the FLATTEN function, or the LATERAL join.

Snowflake Documentation: Optimizing Storage for Performance: This document explains how to optimize the storage of data in Snowflake tables to improve the performance of queries. It also describes the concepts and benefits of automatic clustering, search optimization service, and materialized views.

by Tracey at Nov 18, 2024, 03:55 PM

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Leontine

6 months ago

Wait, can SYSADMIN really control future objects like that?

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Joaquin

6 months ago

D sounds risky, not sure about that one.

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Laquanda

6 months ago

C is the way to go for managed access!

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Lucy

7 months ago

I think B is better for flexibility.

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Reena

7 months ago

Option A seems solid for restricting access.

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Gayla

7 months ago

I have a vague recollection that granting SYSADMIN ownership could lead to more access than intended. So, I think option B might not be the best approach.

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Linwood

7 months ago

I practiced a similar question where ownership and privileges were key. I feel like option D could work, but I'm not confident about the future object privileges part.

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Alex

7 months ago

I'm not entirely sure, but I remember something about managed access schemas being important for controlling access. Maybe option C is worth considering?

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Lenora

8 months ago

I think option A might be the right choice since it allows the analysts to own the database without giving them the ability to manage grants.

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Marisha

8 months ago

I'm feeling pretty confident about this one. Option C looks like the best approach to give the Analysts the access they need without letting them manage grants outside of their role.

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Armanda

8 months ago

Okay, I think I've got a strategy here. I'll need to create a managed access schema and grant the appropriate privileges to the Analyst role. That should meet the requirements.

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Marleen

8 months ago

Hmm, I'm a bit confused about the difference between granting ownership and just create privileges. I'll need to review the Snowflake documentation on that.

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Catarina

8 months ago

This seems like a tricky one. I'll need to carefully consider the requirements around the Analysts' access and permissions.

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Stephaine

1 year ago

I wonder if the data analysts will use their newfound powers to create a 'Snowflake Appreciation Society' database. Gotta love a good pun!

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Delmy

1 year ago

Ah, Option D - the classic 'give them ownership but take it back' maneuver. Sounds like a recipe for confusion and frustration.

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Bok

11 months ago

Janey: Agreed, let's explore the other options before making a decision.

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Nathalie

11 months ago

User 3: Maybe we should consider a different approach to meet the requirements.

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Janey

11 months ago

User 2: Yeah, giving ownership and then taking it back doesn't sound efficient.

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Rene

11 months ago

User 1: Option D seems like a tricky choice.

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Lilli

1 year ago

Option C seems overly complicated. Managing access on a per-schema basis could get messy. I'd prefer a more straightforward approach.

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Anthony

11 months ago

D) Grant ANALYST_ROLE ownership on the database, but grant the ownership on future [object type] s in database privilege to SYSADMIN.

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Angelo

12 months ago

B) Grant SYSADMIN ownership of the database, but grant the create schema privilege on the database to the ANALYST_ROLE.

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Evelynn

12 months ago

A) Grant ANALYST_R0LE OWNERSHIP on the database, but make sure that ANALYST_ROLE does not have the MANAGE GRANTS privilege on the account.

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Gearldine

1 year ago

I'm not sure Option B is a good idea. Granting SYSADMIN ownership and just create schema privileges to ANALYST_ROLE might be too restrictive for their needs.

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Lauran

12 months ago

Yeah, Option A ensures that the Analysts have the ability to create and modify tables, views, and other objects without giving them too much control over granting access to others.

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Tandra

1 year ago

I agree, Option A sounds like the most secure option for the Analysts to have the necessary access without compromising data.

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Lashonda

1 year ago

I think Option A is the best choice. Granting ANALYST_ROLE OWNERSHIP on the database without MANAGE GRANTS privilege seems like a good balance.

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Isadora

1 year ago

Option A looks like the best solution to me. Granting ANALYST_ROLE ownership while restricting MANAGE GRANTS privilege ensures they can work on the database without compromising security.

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Josefa

1 year ago

I see both points, but I personally think option D is the most secure. Granting ownership to the ANALYST_ROLE but giving ownership on future objects to SYSADMIN ensures that data access is controlled.

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Silva

1 year ago

I disagree, I believe option C is the way to go. By making every schema a managed access schema, we can ensure that the ANALYST_ROLE only has access to the objects they need.

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Willetta

1 year ago

I think option A is the best choice because it grants ownership to the ANALYST_ROLE but restricts their ability to manage grants.

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