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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Accounts and Security	25%	- Access Control and Authentication 1. Role-based access control 2. SSO and MFA 3. Data masking and row access policies 4. Network policies - Governance and Compliance 1. Data governance strategies 2. Object ownership and privilege management 3. Encryption and security architecture
Topic 2: Data Engineering	25%	- Data Loading and Pipelines 1. External stages and file formats 2. Bulk and continuous data loading 3. Snowpipe and tasks 4. Streams and CDC - Data Transformation 1. Data modeling strategies 2. Semi-structured data processing 3. ETL and ELT design
Topic 3: Snowflake Architecture	30%	- Platform Architecture Design 1. Data sharing architecture 2. Multi-account strategies 3. Organization and account structure 4. Cross-region and cross-cloud architecture - Storage and Compute Design 1. Database and schema design 2. Warehouse sizing and scaling 3. Micro-partitions and clustering
Topic 4: Performance Optimization	20%	- Cost and Resource Optimization 1. Concurrency scaling 2. Resource monitors 3. Warehouse cost optimization - Query Performance 1. Query profiling and tuning 2. Materialized views 3. Caching strategies 4. Search optimization service

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q78-Q83):

NEW QUESTION # 78
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?

A. There were JSON nulls in the recent data imports.
B. The recent data imports contained fewer fields than usual.
C. There were variations in string lengths for the JSON values in the recent data imports.
D. The order of the keys in the JSON was changed.

Answer: C,D

Explanation:
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.
References:
* Considerations for Semi-structured Data Stored in VARIANT
* Snowflake Architect Training
* Snowflake query performance on unique element in variant column
* Snowflake variant performance

NEW QUESTION # 79
You ran the below query and it took a long time to run
select itembarcode from checkouts where BIBNUMBER = '2213435';
The clustering information shows the below result.
What can you derive from this information
select system$clustering_information('checkouts','(BIBNUMBER)');

A. The query is running slow because BIBNUMBER does not have an index created on it.
B. The query is running slow because the warehouse does not have enough memory
C. The data is not clustered well by BIBNUMBER and it is spread across all the micro-partitions, hence to retrieve a small number of micro-partitions, the query has to scan all the partitions in the table

Answer: C

NEW QUESTION # 80
Company A has recently acquired company B. The Snowflake deployment for company B is located in the Azure West Europe region.
As part of the integration process, an Architect has been asked to consolidate company B's sales data into company A's Snowflake account which is located in the AWS us-east-1 region.
How can this requirement be met?

A. Build a custom data pipeline using Azure Data Factory or a similar tool to extract the sales data from company B's Snowflake account. Transform the data, then load it into company A's Snowflake account.
B. Export the sales data from company B's Snowflake account as CSV files, and transfer the files to company A's Snowflake account. Import the data using Snowflake's data loading capabilities.
C. Migrate company B's Snowflake deployment to the same region as company A's Snowflake deployment, ensuring data locality. Then perform a direct database-to-database merge of the sales data.
D. Replicate the sales data from company B's Snowflake account into company A's Snowflake account using cross-region data replication within Snowflake. Configure a direct share from company B's account to company A's account.

Answer: D

Explanation:
References:
Sharing data securely across regions and cloud platforms
Introduction to replication and failover
Replication considerations
Replicating account objects

NEW QUESTION # 81
An Architect needs to allow a user to create a database from an inbound share.
To meet this requirement, the user's role must have which privileges? (Choose two.)

A. IMPORT SHARE;
B. IMPORT DATABASE;
C. CREATE DATABASE;
D. CREATE SHARE;
E. IMPORT PRIVILEGES;

Answer: B,C

Explanation:
According to the Snowflake documentation, to create a database from an inbound share, the user's role must have the following privileges:
* The CREATE DATABASE privilege on the current account. This privilege allows the user to create a new database in the account1.
* The IMPORT DATABASE privilege on the share. This privilege allows the user to import a database from the share into the account2. The other privileges listed are not relevant for this requirement. The IMPORT SHARE privilege is used to import a share into the account, not a database3. The IMPORT PRIVILEGES privilege is used to import the privileges granted on the shared objects, not the objects themselves2. The CREATE SHARE privilege is used to create a share to provide data to other accounts, not to consume data from other accounts4.
References:
* CREATE DATABASE | Snowflake Documentation
* Importing Data from a Share | Snowflake Documentation
* Importing a Share | Snowflake Documentation
* CREATE SHARE | Snowflake Documentation

NEW QUESTION # 82
EXECUTE TASK privilege can be granted by whom

A. SECURITYADMIN
B. ACCOUNTADMIN
C. ROLE WHO OWNS THE TASK

Answer: B

NEW QUESTION # 83
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