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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) certification exam is one of the most sought-after certifications in the field of cloud computing. It is a comprehensive exam that assesses the skills and knowledge of professionals in designing, deploying, and managing complex Snowflake environments. SnowPro Advanced Architect Certification certification validates the expertise of an individual in building and maintaining Snowflake data warehouses, data lakes, and data pipelines. Snowflake SnowPro Advanced Architect Certification Sample Questions (Q68-Q73):NEW QUESTION # 68
Which statements describe characteristics of the use of materialized views in Snowflake? (Choose two.)
A. They can include context functions, such as CURRENT_TIME().
B. They can include ORDER BY clauses.
C. They can support MIN and MAX aggregates.
D. They can support inner joins, but not outer joins.
E. They cannot include nested subqueries.
Answer: C,E
Explanation:
According to the Snowflake documentation, materialized views have some limitations on the query specification that defines them. One of these limitations is that they cannot include nested subqueries, such as subqueries in the FROM clause or scalar subqueries in the SELECT list. Another limitation is that they cannot include ORDER BY clauses, context functions (such as CURRENT_TIME()), or outer joins. However, materialized views can support MIN and MAX aggregates, as well as other aggregate functions, such as SUM, COUNT, and AVG.
Limitations on Creating Materialized Views | Snowflake Documentation
Working with Materialized Views | Snowflake Documentation
NEW QUESTION # 69
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?
A. Connect the applications using the <organization_name>-<connection_name> URL. Use the Business Critical Snowflake edition.
B. Connect the applications using the <organization_name>-<accountLocator> URL. Use the Enterprise Snowflake edition.
C. Connect the applications using the <organization_name>-<accountLocator> URL. Use the Business Critical Snowflake edition.
D. Connect the applications using the <organization_name>-<connection_name> URL. Use the Virtual Private Snowflake (VPS) edition.
Answer: C
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 # 70
You ran the below query. I have a warehouse with auto suspend set at 5 seconds
SELECT * FROM INVENTORY;
The query profile looks like as below. Please see below 'Percentage scanned from cache' is 0%
You ran the query again before 5 seconds has elapsed and the query profile looks as below. Look at the 'Percentage scanned for cache', it is 75%
You ran the query again after 5 seconds. The query profile looks as below. Look at the 'Percentage scanned from cache', it is zero again.
Why is this happening?
A. The second run of the query used data cache to retrieve part of the result since it ran before the warehouse was suspended
B. The second run of the query used query result cache
C. The third run of the query used query result cache
Answer: A
NEW QUESTION # 71
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.
Answer: C
Explanation:
The image shows a SQL query that can be used to identify which queries are spilled to remote storage and suggests changing the warehouse parameters to address this issue. Spilling to remote storage occurs when the memory allocated to a warehouse is insufficient to process a query, and Snowflake uses disk or cloud storage as a temporary cache. This can significantly slow down the query performance and increase the cost. To troubleshoot this issue, a Snowflake Architect can run the query shown in the image to find out which queries are spilling, how much data they are spilling, and which warehouses they are using. Then, the architect can adjust the warehouse size, type, or scaling policy to provide enough memory for the queries and avoid spilling12. Reference:
Recognizing Disk Spilling
Managing the Kafka Connector
NEW QUESTION # 72
Which of the following ingestion methods can be used to load near real-time data by using the messaging services provided by a cloud provider?
A. Snowflake Connector for Kafka
B. Snowflake streams
C. Spark
D. Snowpipe
Answer: A,D
Explanation:
Snowflake Connector for Kafka and Snowpipe are two ingestion methods that can be used to load near real-time data by using the messaging services provided by a cloud provider. Snowflake Connector for Kafka enables you to stream structured and semi-structured data from Apache Kafka topics into Snowflake tables. Snowpipe enables you to load data from files that are continuously added to a cloud storage location, such as Amazon S3 or Azure Blob Storage. Both methods leverage Snowflake's micro-partitioning and columnar storage to optimize data ingestion and query performance. Snowflake streams and Spark are not ingestion methods, but rather components of the Snowflake architecture. Snowflake streams provide change data capture (CDC) functionality by tracking data changes in a table. Spark is a distributed computing framework that can be used to process large-scale data and write it to Snowflake using the Snowflake Spark Connector. Reference:
Snowflake Connector for Kafka
Snowpipe
Snowflake Streams
Snowflake Spark Connector
NEW QUESTION # 73
......
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