Snowflake certification ARA-C01 the latest examination questions and answers come out

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Snowflake ARA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Performance Optimization20%- Query performance tuning
- Clustering and partitioning strategies
- Virtual warehouse configuration and sizing
- Cost optimization and resource management
Accounts and Security25%- Account and database strategy design
- Security, compliance and governance architecture
- Security principles and implementation scenarios
Data Engineering25%- Data loading and unloading solutions
- Transformation and processing frameworks
- Data pipeline and integration design
Snowflake Architecture30%- Data sharing architecture design
- Data modeling and use cases
- Object hierarchy and architectural impact
- Data protection and recovery strategies
- Development lifecycle and workload support

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Snowflake ARA-C01 Test Questions Answers - SnowPro Advanced Architect Certification Realistic Certification Questions 100% Pass Quiz

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q86-Q91):

NEW QUESTION # 86
An Architect needs to meet a company requirement to ingest files from the company's AWS storage accounts into the company's Snowflake Google Cloud Platform (GCP) account. How can the ingestion of these files into the company's Snowflake account be initiated? (Select TWO).

Answer: A,E

Explanation:
This question centers aroundcross-cloud ingestionusingSnowpipe, where the Snowflake account is onGoogle Cloud, but the source data resides inAmazon S3. Sinceautomatic Snowpipe event-based integration (using AWS SNS)is only supported when Snowflake is deployed onAWS, this limits the options.
In a multi-cloud scenario (e.g., S3 to GCP-hosted Snowflake), onlymanual triggering of Snowpipeis available, typically through theSnowpipe REST API.
Option A - Correct
You can configure your client application to call theSnowpipe REST APIwhen files are available. This is suitable and supported forcross-cloud ingestion, such as from AWS S3 into a Snowflake account hosted on GCP.
Official Extract:
"For cloud platforms other than AWS, or when using Snowpipe in a cross-cloud or external storage configuration, the REST API must be used to trigger ingestion." Source:Snowflake Docs - Using Snowpipe REST API Option C - Correct AWS Lambda can be used toinvoke the Snowpipe REST APIwhen files arrive in S3. This is a common pattern in cross-cloud integrations, acting as a middle layer.
Official Extract:
"You can use an AWS Lambda function to call the Snowpipe REST API when new files are added to your S3 bucket. This pattern works for Snowflake accounts hosted outside of AWS." Source:Snowflake Docs - Automating Snowpipe REST API Calls Option B - Incorrect S3 Glacier is an archival storage service and isnot supportedfor direct loading into Snowflake, since data is not immediately accessible.
Option D - Incorrect
UsingAWS SNS for auto-notificationis only supported whenSnowflake is deployed on AWS. Since this question specifies Snowflake onGCP, SNS-based integration isnot supported.
Official Extract:
"Snowpipe supports Amazon S3 event notifications (SNS/SQS) only for Snowflake accounts hosted on AWS." Source:Snowflake Docs - Supported Cloud Platforms Option E - Incorrect Similar to Option B, S3 Glacier isnot a valid sourcefor data loading because it does not provide real-time file access.
References:
Snowflake Documentation - Snowpipe Overview
Snowpipe REST API
Automating Snowpipe with Lambda
Automatic Ingestion Support - Cloud Limitations


NEW QUESTION # 87
A retailer's enterprise data organization is exploring the use of Data Vault 2.0 to model its data lake solution.
A Snowflake Architect has been asked to provide recommendations for using Data Vault 2.0 on Snowflake.
What should the Architect tell the data organization? (Select TWO).

Answer: C,E

Explanation:
Data Vault 2.0 on Snowflake supports the HASH_DIFF concept for change data capture, which is a method to detect changes in the data by comparing the hash values of the records. Additionally, Snowflake's multi-table insert feature allows for the loading of multiple PIT tables in parallel from a single join query, which can significantly streamline the data loading process and improve performance1.
References =
*Snowflake's documentation on multi-table inserts1
*Blog post on optimizing Data Vault architecture on Snowflake2


NEW QUESTION # 88
A company is designing high availability and disaster recovery plans and needs to maximize redundancy and minimize recovery time objectives for their critical application processes. Cost is not a concern as long as the solution is the best available. The plan so far consists of the following steps:
1. Deployment of Snowflake accounts on two different cloud providers.
2. Selection of cloud provider regions that are geographically far apart.
3. The Snowflake deployment will replicate the databases and account data between both cloud provider accounts.
4. Implementation of Snowflake client redirect.
What is the MOST cost-effective way to provide the HIGHEST uptime and LEAST application disruption if there is a service event?

Answer: D

Explanation:
To provide the highest uptime and least application disruption in case of a service event, the best option is to use the Business Critical Snowflake edition and connect the applications using the
<organization_name>-<accountLocator> URL. The Business Critical Snowflake edition offers the highest level of security, performance, and availability for Snowflake accounts. It includes features such as customer-managed encryption keys, HIPAA compliance, and 4-hour RPO and RTO SLAs. It also supports account replication and failover across regions and cloud platforms, which enables business continuity and disaster recovery. By using the <organization_name>-<accountLocator> URL, the applications can leverage the Snowflake Client Redirect feature, which automatically redirects the client connections to the secondary account in case of a failover. This way, the applications can seamlessly switch to the backup account without any manual intervention or configuration changes. The other options are less cost-effective or less reliable because they either use a lower edition of Snowflake, which does not support account replication and failover, or they use the <organization_name>-<connection_name> URL, which does not support client redirect and requires manual updates to the connection string in case of a failover. References:
* [Snowflake Editions] 1
* [Replication and Failover/Failback] 2
* [Client Redirect] 3
* [Snowflake Account Identifiers] 4


NEW QUESTION # 89
A table contains five columns and it has millions of records. The cardinality distribution of the columns is shown below:

Column C4 and C5 are mostly used by SELECT queries in the GROUP BY and ORDER BY clauses.
Whereas columns C1, C2 and C3 are heavily used in filter and join conditions of SELECT queries.
The Architect must design a clustering key for this table to improve the query performance.
Based on Snowflake recommendations, how should the clustering key columns be ordered while defining the multi-column clustering key?

Answer: B

Explanation:
According to the Snowflake documentation, the following are some considerations for choosing clustering for a table1:
* Clustering is optimal when either:
* You require the fastest possible response times, regardless of cost.
* Your improved query performance offsets the credits required to cluster and maintain the table.
* Clustering is most effective when the clustering key is used in the following types of query predicates:
* Filter predicates (e.g. WHERE clauses)
* Join predicates (e.g. ON clauses)
* Grouping predicates (e.g. GROUP BY clauses)
* Sorting predicates (e.g. ORDER BY clauses)
* Clustering is less effective when the clustering key is not used in any of the above query predicates, or when the clustering key is used in a predicate that requires a function or expression to be applied to the key (e.g. DATE_TRUNC, TO_CHAR, etc.).
* For most tables, Snowflake recommends a maximum of 3 or 4 columns (or expressions) per key.
Adding more than 3-4 columns tends to increase costs more than benefits.
Based on these considerations, the best option for the clustering key columns is C. C1, C3, C2, because:
* These columns are heavily used in filter and join conditions of SELECT queries, which are the most effective types of predicates for clustering.
* These columns have high cardinality, which means they have many distinct values and can help reduce the clustering skew and improve the compression ratio.
* These columns are likely to be correlated with each other, which means they can help co-locate similar rows in the same micro-partitions and improve the scan efficiency.
* These columns do not require any functions or expressions to be applied to them, which means they can be directly used in the predicates without affecting the clustering.
References: 1: Considerations for Choosing Clustering for a Table | Snowflake Documentation


NEW QUESTION # 90
Which organization-related tasks can be performed by the ORGADMIN role? (Choose three.)

Answer: A,D,F

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the organization-related tasks that can be performed by the ORGADMIN role are:
Creating an account in the organization. A user with the ORGADMIN role can use the CREATE ACCOUNT command to create a new account that belongs to the same organization as the current account1.
Viewing a list of organization accounts. A user with the ORGADMIN role can use the SHOW ORGANIZATION ACCOUNTS command to view the names and properties of all accounts in the organization2. Alternatively, the user can use the Admin a Accounts page in the web interface to view the organization name and account names3.
Enabling the replication of a database. A user with the ORGADMIN role can use the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function to enable database replication for an account in the organization. This allows the user to replicate databases across accounts in different regions and cloud platforms for data availability and durability4.
The other options are incorrect because they are not organization-related tasks that can be performed by the ORGADMIN role. Option A is incorrect because changing the name of the organization is not a task that can be performed by the ORGADMIN role. To change the name of an organization, the user must contact Snowflake Support3. Option D is incorrect because changing the name of an account is not a task that can be performed by the ORGADMIN role. To change the name of an account, the user must contact Snowflake Support5. Option E is incorrect because deleting an account is not a task that can be performed by the ORGADMIN role. To delete an account, the user must contact Snowflake Support. Reference: CREATE ACCOUNT | Snowflake Documentation, SHOW ORGANIZATION ACCOUNTS | Snowflake Documentation, Getting Started with Organizations | Snowflake Documentation, SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER | Snowflake Documentation, ALTER ACCOUNT | Snowflake Documentation, [DROP ACCOUNT | Snowflake Documentation]


NEW QUESTION # 91
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