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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Sharing and Collaboration	- Secure data sharing 1. Data marketplace concepts 2. Cross-account data sharing
Topic 2: Security, Governance, and Compliance	- Access control and security model 1. Network security and authentication 2. Role-based access control (RBAC) - Data governance 1. Audit and compliance features 2. Data classification and masking policies
Topic 3: Performance and Optimization	- Query performance tuning 1. Warehouse sizing and scaling 2. Query profiling and optimization techniques - Cost optimization 1. Storage and compute efficiency 2. Resource monitoring and cost control
Topic 4: Data Architecture and Design	- Design scalable Snowflake architectures 1. Account and environment strategy 2. Multi-cluster virtual warehouse design - Data modeling and schema design 1. Semi-structured data modeling 2. Star and snowflake schema concepts
Topic 5: Data Pipelines and Data Engineering	- Data ingestion and transformation 1. Batch and streaming ingestion 2. Snowpipe and continuous data loading - Data orchestration 1. Tasks and Streams usage 2. Pipeline design patterns

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q67-Q72):

NEW QUESTION # 67
Let's say that you have two JSONs as below
1. {"stuId":2000, "stuName":"Amy"}
2. {"stuId":2000,"stuCourse":"Snowflake"}
How will you write a query that will check if stuId in JSON in #1 is also there in JSON in#2

A. with stu_demography as (select parse_json(column1) as src, src:stuId as ID from values('{"stuId":2000, "stuName":"Amy"}')),
B. SELECT CONTAINS('{"stuId":2000, "stuName":"Amy"}','{"stuId":2000,"stuCourse":"Snowflake"}');
C. with stu_demography as (select parse_json(column1) as src, src['STUID'] as ID from values('{"stuId":2000, "stuName":"Amy"}')), stu_course as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;
D. with stu_demography as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000, "stuName":"Amy"}')), stu_course as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;
E. stu_course as (select parse_json(column1) as src, src:stuId as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;

Answer: D,E

NEW QUESTION # 68
A company has an inbound share set up with eight tables and five secure views. The company plans to make the share part of its production data pipelines.
Which actions can the company take with the inbound share? (Choose two.)

A. Create a table stream on the shared table.
B. Grant modify permissions on the share.
C. Create additional views inside the shared database.
D. Clone a table from a share.
E. Create a table from the shared database.

Answer: A,E

NEW QUESTION # 69
An Architect entered the following commands in sequence:

USER1 cannot find the table.
Which of the following commands does the Architect need to run for USER1 to find the tables using the Principle of Least Privilege? (Choose two.)

A. GRANT USAGE ON SCHEMA SANDBOX.PUBLIC TO ROLE INTERN;
B. GRANT ROLE PUBLIC TO ROLE INTERN;
C. GRANT USAGE ON DATABASE SANDBOX TO ROLE INTERN;
D. GRANT OWNERSHIP ON DATABASE SANDBOX TO USER INTERN;
E. GRANT ALL PRIVILEGES ON DATABASE SANDBOX TO ROLE INTERN;

Answer: A,C

Explanation:
According to the Principle of Least Privilege, the Architect should grant the minimum privileges necessary for the USER1 to find the tables in the SANDBOX database.
The USER1 needs to have USAGE privilege on the SANDBOX database and the SANDBOX.PUBLIC schema to be able to access the tables in the PUBLIC schema. Therefore, the commands B and C are the correct ones to run.
The command A is not correct because the PUBLIC role is automatically granted to every user and role in the account, and it does not have any privileges on the SANDBOX database by default.
The command D is not correct because it would transfer the ownership of the SANDBOX database from the Architect to the USER1, which is not necessary and violates the Principle of Least Privilege.
The command E is not correct because it would grant all the possible privileges on the SANDBOX database to the USER1, which is also not necessary and violates the Principle of Least Privilege.
Snowflake - Principle of Least Privilege : Snowflake - Access Control Privileges : Snowflake - Public Role :
Snowflake - Ownership and Grants

NEW QUESTION # 70
An Architect is troubleshooting a query with poor performance using the QUERY function. The Architect observes that the COMPILATION_TIME Is greater than the EXECUTION_TIME.
What is the reason for this?

A. The query Is queued for execution.
B. The query is processing a very large dataset.
C. The query has overly complex logic.
D. The query Is reading from remote storage

Answer: C

Explanation:
* The correct answer is B because the compilation time is the time it takes for the optimizer to create an optimal query plan for the efficient execution of the query. The compilation time depends on the complexity of the query, such as the number of tables, columns, joins, filters, aggregations, subqueries, etc. The more complex the query, the longer it takes to compile.
* Option A is incorrect because the query processing time is not affected by the size of the dataset, but by the size of the virtual warehouse. Snowflake automatically scales the compute resources to match the data volume and parallelizes the query execution. The size of the dataset may affect the execution time, but not the compilation time.
* Option C is incorrect because the query queue time is not part of the compilation time or the execution time. It is a separate metric that indicates how long the query waits for a warehouse slot before it starts
* running. The query queue time depends on the warehouse load, concurrency, and priority settings.
* Option D is incorrect because the query remote IO time is not part of the compilation time or the execution time. It is a separate metric that indicates how long the query spends reading data from remote storage, such as S3 or Azure Blob Storage. The query remote IO time depends on the network latency, bandwidth, and caching efficiency. References:
* Understanding Why Compilation Time in Snowflake Can Be Higher than Execution Time: This article explains why the total duration (compilation + execution) time is an essential metric to measure query performance in Snowflake. It discusses the reasons for the long compilation time, including query complexity and the number of tables and columns.
* Exploring Execution Times: This document explains how to examine the past performance of queries and tasks using Snowsight or by writing queries against views in the ACCOUNT_USAGE schema. It also describes the different metrics and dimensions that affect query performance, such as duration, compilation, execution, queue, and remote IO time.
* What is the "compilation time" and how to optimize it?: This community post provides some tips and best practices on how to reduce the compilation time, such as simplifying the query logic, using views or common table expressions, and avoiding unnecessary columns or joins.

NEW QUESTION # 71
When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur?

A. All rows loaded using a specific COPY statement will have the same timestamp value.
B. All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.
C. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.
D. Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.

Answer: A

Explanation:
Explanation
According to the Snowflake documentation, when loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP(), the default value is evaluated once per COPY statement, not once per row. Therefore, all rows loaded using a specific COPY statement will have the same timestamp value. This behavior ensures that the timestamp value reflects the time when the data was loaded into the table, not when the data was read from the source or created in the source.
References:
* Snowflake Documentation: Loading Data into Tables with Default Values
* Snowflake Documentation: COPY INTO table

NEW QUESTION # 72
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