DOWNLOAD the newest SureTorrent ARA-C01 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1aiAm6DNOXxqrqKqkV4olteWvVKdfB0fY
Pass the SnowPro Advanced Architect Certification ARA-C01 certification exam which is a challenging task. To make ARA-C01 exam success journey simple, quick, and smart, you have to prepare well and show a firm commitment to passing this exam. The real, updated, and error-free SnowPro Advanced Architect Certification ARA-C01 Exam Dumps are available over the SureTorrent.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Architecture | 30% | - Storage and Compute Design
|
| Topic 2: Performance Optimization | 20% | - Cost and Resource Optimization
|
| Topic 3: Accounts and Security | 25% | - Access Control and Authentication
|
| Topic 4: Data Engineering | 25% | - Data Transformation
|
>> Snowflake ARA-C01 Actual Exam <<
In order to meet the needs of all customers, our company employed a lot of leading experts and professors in the field. These experts and professors have designed our ARA-C01 exam questions with a high quality for our customers. We can promise that our ARA-C01 Study Guide will be suitable for all people, including students and workers and so on. You can use our ARA-C01 practice materials whichever level you are in right now.
NEW QUESTION # 120
Your business team runs a set of identical queries every day after the batch ETL run is complete. From the following actions, what is the best action that you will recommend.
Answer: B
NEW QUESTION # 121
A Snowflake Architect is setting up database replication to support a disaster recovery plan. The primary database has external tables.
How should the database be replicated?
Answer: C
Explanation:
Database replication is a feature that allows you to create a copy of a database in another account, region, or cloud platform for disaster recovery or business continuity purposes. However, not all database objects can be replicated. External tables are one of the exceptions, as they reference data files stored in an external stage that is not part of Snowflake. Therefore, to replicate a database that contains external tables, you need to move the external tables to a separate database that is not replicated, and then replicate the primary database that contains the other objects. This way, you can avoid replication errors and ensure consistency between the primary and secondary databases. The other options are incorrect because they either do not address the issue of external tables, or they use an alternative method that is not supported by Snowflake. You cannot create a clone of the primary database and then replicate it, as replication only works on the original database, not on its clones. You also cannot share the primary database with another account, as sharing is a different feature that does not create a copy of the database, but rather grants access to the shared objects. Finally, you do not need to ensure that the replicated database is in the same region as the external tables, as external tables can access data files stored in any region or cloud platform, as long as the stage URL is valid and accessible. References:
* [Replication and Failover/Failback] 1
* [Introduction to External Tables] 2
* [Working with External Tables] 3
* [Replication : How to migrate an account from One Cloud Platform or Region to another in
* Snowflake] 4
NEW QUESTION # 122
A Data Engineer is designing a near real-time ingestion pipeline for a retail company to ingest event logs into Snowflake to derive insights. A Snowflake Architect is asked to define security best practices to configure access control privileges for the data load for auto-ingest to Snowpipe.
What are the MINIMUM object privileges required for the Snowpipe user to execute Snowpipe?
Answer: B
Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the minimum object privileges required for the Snowpipe user to execute Snowpipe are:
* OWNERSHIP on the named pipe. This privilege allows the Snowpipe user to create, modify, and drop the pipe object that defines the COPY statement for loading data from the stage to the table1.
* USAGE and READ on the named stage. These privileges allow the Snowpipe user to access and read the data files from the stage that are loaded by Snowpipe2.
* USAGE on the target database and schema. These privileges allow the Snowpipe user to access the database and schema that contain the target table3.
* INSERT and SELECT on the target table. These privileges allow the Snowpipe user to insert data into the table and select data from the table4.
The other options are incorrect because they do not specify the minimum object privileges required for the Snowpipe user to execute Snowpipe. Option A is incorrect because it does not include the READ privilege on the named stage, which is required for the Snowpipe user to read the data files from the stage. Option C is incorrect because it does not include the OWNERSHIP privilege on the named pipe, which is required for the Snowpipe user to create, modify, and drop the pipe object. Option D is incorrect because it does not include the OWNERSHIP privilege on the named pipe or the READ privilege on the named stage, which are both required for the Snowpipe user to execute Snowpipe. References: CREATE PIPE | Snowflake Documentation, CREATE STAGE | Snowflake Documentation, CREATE DATABASE | Snowflake Documentation, CREATE TABLE | Snowflake Documentation
NEW QUESTION # 123
Which query will identify the specific days and virtual warehouses that would benefit from a multi-cluster warehouse to improve the performance of a particular workload?
Answer: A
Explanation:
The correct answer is option B. This query is designed to assess the need for a multi-cluster warehouse by examining the queuing time (AVG_QUEUED_LOAD) on different days and virtual warehouses. When the AVG_QUEUED_LOAD is greater than zero, it suggests that queries are waiting for resources, which can be an indicator that performance might be improved by using a multi-cluster warehouse to handle the workload more efficiently. By grouping by date and warehouse name and filtering on the sum of the average queued load being greater than zero, the query identifies specific days and warehouses where the workload exceeded the available compute resources. This information is valuable when considering scaling out warehouses to multi-cluster configurations for improved performance.
NEW QUESTION # 124
What is a characteristic of loading data into Snowflake using the Snowflake Connector for Kafka?
Answer: D
Explanation:
Explanation
According to the SnowPro Advanced: Architect documents and learning resources, a characteristic of loading data into Snowflake using the Snowflake Connector for Kafka is that the Connector creates and manages its own stage, file format, and pipe objects. The stage is an internal stage that is used to store the data files from the Kafka topics. The file format is a JSON or Avro file format that is used to parse the data files. The pipe is a Snowpipe object that is used to load the data files into the Snowflake table. The Connector automatically creates and configures these objects based on the Kafka configuration properties, and handles the cleanup and maintenance of these objects1.
The other options are incorrect because they are not characteristics of loading data into Snowflake using the Snowflake Connector for Kafka. Option A is incorrect because the Connector works in Snowflake regions that use any cloud infrastructure, not just AWS. The Connector supports AWS, Azure, and Google Cloud platforms, and can load data across different regions and cloud platforms using data replication2. Option B is incorrect because the Connector does not work with all file formats, only JSON and Avro. The Connector expects the data in the Kafka topics to be in JSON or Avro format, and parses the data accordingly. Other file formats, such as text, ORC, Parquet, or XML, are not supported by the Connector3. Option D is incorrect because loads using the Connector do not have lower latency than Snowpipe, and do not ingest data in real time. The Connector uses Snowpipe to load data into Snowflake, and inherits the same latency and performance characteristics of Snowpipe. The Connector does not provide real-time ingestion, but near real-time ingestion, depending on the frequency and size of the data files4. References: Installing and Configuring the Kafka Connector | Snowflake Documentation, Sharing Data Across Regions and Cloud Platforms | Snowflake Documentation, Overview of the Kafka Connector | Snowflake Documentation, Using Snowflake Connector for Kafka With Snowpipe Streaming | Snowflake Documentation
NEW QUESTION # 125
......
With pass rate reaching 98.75%, ARA-C01 exam torrent has received great popularity among candidates, and they think highly of the exam dumps. In addition, ARA-C01 exam braindumps are high-quality and accuracy, because we have professionals to verify the answers to ensure the accuracy. ARA-C01 exam dumps have most of knowledge points for the exam, and you can mater the major points through practicing. In addition, we have online and offline chat service for ARA-C01 Exam Dumps, and they posse the professional knowledge for the exam. If you have any questions about ARA-C01 exam materials, you can have a conversation with us.
New ARA-C01 Learning Materials: https://www.suretorrent.com/ARA-C01-exam-guide-torrent.html
BTW, DOWNLOAD part of SureTorrent ARA-C01 dumps from Cloud Storage: https://drive.google.com/open?id=1aiAm6DNOXxqrqKqkV4olteWvVKdfB0fY