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[General] Snowflake ARA-C01 Reliable Test Review & Test ARA-C01 Dumps Demo

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【General】 Snowflake ARA-C01 Reliable Test Review & Test ARA-C01 Dumps Demo

Posted at yesterday 01:08      View：6 | Replies：1        Print      Only Author   [Copy Link] 1#
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Snowflake ARA-C01 exam consists of multiple-choice questions that cover a wide range of topics related to data warehousing and cloud computing. ARA-C01 exam is timed, with a total duration of 120 minutes, and candidates must achieve a minimum score of 80% to pass. ARA-C01 exam is available in multiple languages including English, Japanese, and Spanish.
Achieving the Snowflake ARA-C01 Certification demonstrates a high level of expertise in Snowflake's cloud-based data warehousing solutions. It is a valuable credential that can help professionals stand out in the job market and advance their careers in the field of data warehousing and cloud computing.
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Snowflake ARA-C01 exam is a challenging test that requires a thorough understanding of Snowflake's architecture and best practices. ARA-C01 exam consists of 60 multiple-choice questions, and candidates have 120 minutes to complete the test. To pass the exam, candidates must score at least 80% or higher. The Snowflake ARA-C01 Certification is valid for two years, after which candidates must retake the exam to maintain their certification.
Snowflake SnowPro Advanced Architect Certification Sample Questions (Q81-Q86):NEW QUESTION # 81
A company is using a Snowflake account in Azure. The account has SAML SSO set up using ADFS as a SCIM identity provider. To validate Private Link connectivity, an Architect performed the following steps:
* Confirmed Private Link URLs are working by logging in with a username/password account
* Verified DNS resolution by running nslookups against Private Link URLs
* Validated connectivity using SnowCD
* Disabled public access using a network policy set to use the company's IP address range However, the following error message is received when using SSO to log into the company account:
IP XX.XXX.XX.XX is not allowed to access snowflake. Contact your local security administrator.
What steps should the Architect take to resolve this error and ensure that the account is accessed using only Private Link? (Choose two.)
  • A. Generate a new SCIM access token using system$generate_scim_access_token and save it to Azure AD.
  • B. Add the IP address in the error message to the allowed list in the network policy.
  • C. Alter the Azure security integration to use the Private Link URLs.
  • D. Open a case with Snowflake Support to authorize the Private Link URLs' access to the account.
  • E. Update the configuration of the Azure AD SSO to use the Private Link URLs.
Answer: A,B

NEW QUESTION # 82
Based on the Snowflake object hierarchy, what securable objects belong directly to a Snowflake account?
(Select THREE).
  • A. Schema
  • B. Table
  • C. Database
  • D. Stage
  • E. Warehouse
  • F. Role
Answer: C,E,F
Explanation:
* A securable object is an entity to which access can be granted in Snowflake. Securable objects include databases, schemas, tables, views, stages, pipes, functions, procedures, sequences, tasks, streams, roles, warehouses, and shares1.
* The Snowflake object hierarchy is a logical structure that organizes the securable objects in a nested manner. The top-most container is the account, which contains all the databases, roles, and warehouses for the customer organization. Each database contains schemas, which in turn contain tables, views, stages, pipes, functions, procedures, sequences, tasks, and streams. Each role can be granted privileges on other roles or securable objects. Each warehouse can be used to execute queries on securable objects2.
* Based on the Snowflake object hierarchy, the securable objects that belong directly to a Snowflake account are databases, roles, and warehouses. These objects are created and managed at the account level, and do not depend on any other securable object. The other options are not correct because:
* Schemas belong to databases, not to accounts. A schema must be created within an existing database3.
* Tables belong to schemas, not to accounts. A table must be created within an existing schema4.
* Stages belong to schemas or tables, not to accounts. A stage must be created within an existing schema or table.
References:
* 1: Overview of Access Control | Snowflake Documentation
* 2: Securable Objects | Snowflake Documentation
* 3: CREATE SCHEMA | Snowflake Documentation
* 4: CREATE TABLE | Snowflake Documentation
* [5]: CREATE STAGE | Snowflake Documentation

NEW QUESTION # 83
Running EXPLAIN on a query does not require a running warehouse
  • A. FALSE
  • B. TRUE
Answer: B

NEW QUESTION # 84
A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to deliver near real-time sales results to category managers. The stores operate in a variety of time zones and exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than others.
Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions interfaced to scoring algorithms. The source data for aggregations has over 100M rows.
Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention that includes store numbers and timestamps to identify the set of transactions contained in the files. The files are typically less than 10MB in size.
How can the near real-time results be provided to the category managers? (Select TWO).
  • A. An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs.
  • B. The copy into command with a task scheduled to run every second should be used to achieve the near- real time requirement.
  • C. A Snowpipe should be created and configured with AUTO_INGEST = true. A stream should be created to process INSERTS into a single target table using the stream metadata to inform the store number and timestamps.
  • D. All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion.
  • E. A stream should be created to accumulate the near real-time data and a task should be created that runs at a frequency that matches the real-time analytics needs.
Answer: C,E
Explanation:
To provide near real-time sales results to category managers, the Architect can use the following steps:
* Create an external stage that references the cloud storage location where the POS sends the sales transactions files. The external stage should use the file format and encryption settings that match the source files2
* Create a Snowpipe that loads the files from the external stage into a target table in Snowflake. The Snowpipe should be configured with AUTO_INGEST = true, which means that it will automatically detect and ingest new files as they arrive in the external stage. The Snowpipe should also use a copy option to purge the files from the external stage after loading, to avoid duplicate ingestion3
* Create a stream on the target table that captures the INSERTS made by the Snowpipe. The stream should include the metadata columns that provide information about the file name, path, size, and last modified time. The stream should also have a retention period that matches the real-time analytics needs4
* Create a task that runs a query on the stream to process the near real-time data. The query should use the stream metadata to extract the store number and timestamps from the file name and path, and perform the calculations for exceptions, aggregations, and scoring using external functions. The query should also output the results to another table or view that can be accessed by the category managers.
The task should be scheduled to run at a frequency that matches the real-time analytics needs, such as every minute or every 5 minutes.
The other options are not optimal or feasible for providing near real-time results:
* All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion. This option is not recommended because it would introduce additional latency and complexity in the data pipeline.
Concatenating files would require an external process or service that monitors the cloud storage location and performs the file merging operation. This would delay the ingestion of new files into Snowflake and increase the risk of data loss or corruption. Moreover, concatenating files would not avoid micro-ingestion, as Snowpipe would still ingest each concatenated file as a separate load.
* An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs. This option is not necessary because Snowpipe can automatically ingest new files from the external stage without requiring an external trigger or scheduler. Using an external scheduler would add more overhead and dependency to the data pipeline, and it would not guarantee near real-time ingestion, as it would depend on the polling interval and the availability of the external scheduler.
* The copy into command with a task scheduled to run every second should be used to achieve the near- real time requirement. This option is not feasible because tasks cannot be scheduled to run every second in Snowflake. The minimum interval for tasks is one minute, and even that is not guaranteed, as tasks are subject to scheduling delays and concurrency limits. Moreover, using the copy into command with a task would not leverage the benefits of Snowpipe, such as automatic file detection, load balancing, and micro-partition optimization. References:
* 1: SnowPro Advanced: Architect | Study Guide
* 2: Snowflake Documentation | Creating Stages
* 3: Snowflake Documentation | Loading Data Using Snowpipe
* 4: Snowflake Documentation | Using Streams and Tasks for ELT
* : Snowflake Documentation | Creating Tasks
* : Snowflake Documentation | Best Practices for Loading Data
* : Snowflake Documentation | Using the Snowpipe REST API
* : Snowflake Documentation | Scheduling Tasks
* : SnowPro Advanced: Architect | Study Guide
* : Creating Stages
* : Loading Data Using Snowpipe
* : Using Streams and Tasks for ELT
* : [Creating Tasks]
* : [Best Practices for Loading Data]
* : [Using the Snowpipe REST API]
* : [Scheduling Tasks]

NEW QUESTION # 85
A healthcare company is deploying a Snowflake account that may include Personal Health Information (PHI). The company must ensure compliance with all relevant privacy standards.
Which best practice recommendations will meet data protection and compliance requirements? (Choose three.)
  • A. Use the Internal Tokenization feature to obfuscate sensitive data.
  • B. Rewrite SQL queries to eliminate projections of PHI data based on current_role().
  • C. Use, at minimum, the Business Critical edition of Snowflake.
  • D. Create Dynamic Data Masking policies and apply them to columns that contain PHI.
  • E. Use the External Tokenization feature to obfuscate sensitive data.
  • F. Avoid sharing data with partner organizations.
Answer: C,D,E

NEW QUESTION # 86
......
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Posted at yesterday 04:06        Only Author  2#
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