Abigail Williams Abigail Williams's Profile Page

Abigail Williams Abigail Williams

0 Course Enrolled • 0 Course Completed

Biography

Unparalleled ARA-C01 Valid Exam Registration–Pass ARA-C01 First Attempt

P.S. Free 2025 Snowflake ARA-C01 dumps are available on Google Drive shared by PrepAwayExam: https://drive.google.com/open?id=1XO2LlNVB7tCNbcA8UlGrc8UubpzgEVvT

It is really a tough work to getting ARA-C01 certification in their spare time because preparing actual exam dumps needs plenty time and energy. As the one of certification exam dumps provider, PrepAwayExam enjoys a high popularity for its profession of ARA-C01 Exam Dumps and training materials. You will get high passing score in test with the help of our ARA-C01 braindumps torrent.

Snowflake ARA-C01 Certification Exam is not for the faint-hearted. It is a rigorous and challenging exam that requires a deep understanding of Snowflake architecture, data modeling, performance optimization, security, and administration. ARA-C01 exam consists of 60 multiple-choice questions that must be completed within 120 minutes. The passing score for the ARA-C01 exam is 80%, and candidates who pass the exam are awarded the SnowPro Advanced Architect Certification.

Snowflake ARA-C01 certification exam covers a wide range of topics including Snowflake architecture, data modeling, performance optimization, security, and governance. To pass the certification exam, candidates must demonstrate their expertise in designing and implementing Snowflake solutions that meet the business requirements of their organization. Candidates must also demonstrate their ability to optimize the performance of Snowflake solutions and ensure the security and governance of Snowflake data.

>> ARA-C01 Valid Exam Registration <<

Pass Guaranteed Quiz Snowflake - ARA-C01 Pass-Sure Valid Exam Registration

With the intense competition in labor market, it has become a trend that a lot of people, including many students, workers and so on, are trying their best to get a ARA-C01 certification in a short time. They all long to own the useful certification that they can have an opportunity to change their present state, including get a better job, have a higher salary, and get a higher station in life and so on, but they also understand that it is not easy for them to get a ARA-C01 Certification in a short time. If you are the one of the people who wants to get a certificate, we are willing to help you solve your problem.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which feature provides the capability to define an alternate cluster key for a table with an existing cluster key?

A. Search optimization
B. Materialized view
C. External table
D. Result cache

Answer: B

NEW QUESTION # 23
A company has a source system that provides JSON records for various loT operations. The JSON Is loading directly into a persistent table with a variant field. The data Is quickly growing to 100s of millions of records and performance to becoming an issue. There is a generic access pattern that Is used to filter on the create_date key within the variant field.
What can be done to improve performance?

A. Alter the target table to Include additional fields pulled from the JSON records. This would Include a create_date field with a datatype of time stamp. When this field Is used in the filter, partition pruning will occur.
B. Validate the size of the warehouse being used. If the record count is approaching 100s of millions, size XL will be the minimum size required to process this amount of data.
C. Incorporate the use of multiple tables partitioned by date ranges. When a user or process needs to query a particular date range, ensure the appropriate base table Is used.
D. Alter the target table to include additional fields pulled from the JSON records. This would include a create_date field with a datatype of varchar. When this field is used in the filter, partition pruning will occur.

Answer: A

Explanation:
The correct answer is A because it improves the performance of queries by reducing the amount of data scanned and processed. By adding a create_date field with a timestamp data type, Snowflake can automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This avoids the need to parse the JSON data and access the variant field for every record.
Option B is incorrect because it does not improve the performance of queries. By adding a create_date field with a varchar data type, Snowflake cannot automatically cluster the table based on this field and prune the micro-partitions that do not match the filter condition. This still requires parsing the JSON data and accessing the variant field for every record.
Option C is incorrect because it does not address the root cause of the performance issue. By validating the size of the warehouse being used, Snowflake can adjust the compute resources to match the data volume and parallelize the query execution. However, this does not reduce the amount of data scanned and processed, which is the main bottleneck for queries on JSON data.
Option D is incorrect because it adds unnecessary complexity and overhead to the data loading and querying process. By incorporating the use of multiple tables partitioned by date ranges, Snowflake can reduce the amount of data scanned and processed for queries that specify a date range. However, this requires creating and maintaining multiple tables, loading data into the appropriate table based on the date, and joining the tables for queries that span multiple date ranges. Reference:
Snowflake Documentation: Loading Data Using Snowpipe: This document explains how to use Snowpipe to continuously load data from external sources into Snowflake tables. It also describes the syntax and usage of the COPY INTO command, which supports various options and parameters to control the loading behavior, such as ON_ERROR, PURGE, and SKIP_FILE.
Snowflake Documentation: Date and Time Data Types and Functions: This document explains the different data types and functions for working with date and time values in Snowflake. It also describes how to set and change the session timezone and the system timezone.
Snowflake Documentation: Querying Metadata: This document explains how to query the metadata of the objects and operations in Snowflake using various functions, views, and tables. It also describes how to access the copy history information using the COPY_HISTORY function or the COPY_HISTORY view.
Snowflake Documentation: Loading JSON Data: This document explains how to load JSON data into Snowflake tables using various methods, such as the COPY INTO command, the INSERT command, or the PUT command. It also describes how to access and query JSON data using the dot notation, the FLATTEN function, or the LATERAL join.
Snowflake Documentation: Optimizing Storage for Performance: This document explains how to optimize the storage of data in Snowflake tables to improve the performance of queries. It also describes the concepts and benefits of automatic clustering, search optimization service, and materialized views.

NEW QUESTION # 24
How can the Snowpipe REST API be used to keep a log of data load history?

A. Call insertReport every 8 minutes for a 10-minute time range.
B. Call loadHistoryScan every 10 minutes for a 15-minutes range.
C. Call loadHistoryScan every minute for the maximum time range.
D. Call insertReport every 20 minutes, fetching the last 10,000 entries.

Answer: B

Explanation:
The Snowpipe REST API provides two endpoints for retrieving the data load history: insertReport and loadHistoryScan. The insertReport endpoint returns the status of the files that were submitted to the insertFiles endpoint, while the loadHistoryScan endpoint returns the history of the files that were actually loaded into the table by Snowpipe. To keep a log of data load history, it is recommended to use the loadHistoryScan endpoint, which provides more accurate and complete information about the data ingestion process. The loadHistoryScan endpoint accepts a start time and an end time as parameters, and returns the files that were loaded within that time range. The maximum time range that can be specified is 15 minutes, and the maximum number of files that can be returned is 10,000. Therefore, to keep a log of data load history, the best option is to call the loadHistoryScan endpoint every 10 minutes for a 15-minute time range, and store the results in a log file or a table. This way, the log will capture all the files that were loaded by Snowpipe, and avoid any gaps or overlaps in the time range. The other options are incorrect because:
* Calling insertReport every 20 minutes, fetching the last 10,000 entries, will not provide a complete log of data load history, as some files may be missed or duplicated due to the asynchronous nature of Snowpipe. Moreover, insertReport only returns the status of the files that were submitted, not the files that were loaded.
* Calling loadHistoryScan every minute for the maximum time range will result in too many API calls and unnecessary overhead, as the same files will be returned multiple times. Moreover, the maximum time range is 15 minutes, not 1 minute.
* Calling insertReport every 8 minutes for a 10-minute time range will suffer from the same problems as option A, and also create gaps or overlaps in the time range.
References:
* Snowpipe REST API
* Option 1: Loading Data Using the Snowpipe REST API
* PIPE_USAGE_HISTORY

NEW QUESTION # 25
What is a characteristic of Role-Based Access Control (RBAC) as used in Snowflake?

A. A user can use a "super-user" access along with securityadmin to bypass authorization checks and access all databases, schemas, and underlying objects.
B. A user can create managed access schemas to support current and future grants and ensure only object owners can grant privileges to other roles.
C. A user can create managed access schemas to support future grants and ensure only schema owners can grant privileges to other roles.
D. Privileges can be granted at the database level and can be inherited by all underlying objects.

Answer: C,D

Explanation:
Role-Based Access Control (RBAC) is the Snowflake Access Control Framework that allows privileges to be granted by object owners to roles, and roles, in turn, can be assigned to users to restrict or allow actions to be performed on objects. A characteristic of RBAC as used in Snowflake is:
Privileges can be granted at the database level and can be inherited by all underlying objects. This means that a role that has a certain privilege on a database, such as CREATE SCHEMA or USAGE, can also perform the same action on any schema, table, view, or other object within that database, unless explicitly revoked. This simplifies the access control management and reduces the number of grants required.
A user can create managed access schemas to support future grants and ensure only schema owners can grant privileges to other roles. This means that a user can create a schema with the MANAGED ACCESS option, which changes the default behavior of object ownership and privilege granting within the schema. In a managed access schema, object owners lose the ability to grant privileges on their objects to other roles, and only the schema owner or a role with the MANAGE GRANTS privilege can do so. This enhances the security and governance of the schema and its objects.
The other options are not characteristics of RBAC as used in Snowflake:
A user can use a "super-user" access along with securityadmin to bypass authorization checks and access all databases, schemas, and underlying objects. This is not true, as there is no such thing as a "super-user" access in Snowflake. The securityadmin role is a predefined role that can manage users and roles, but it does not have any privileges on any database objects by default. To access any object, the securityadmin role must be explicitly granted the appropriate privilege by the object owner or another role with the grant option.
A user can create managed access schemas to support current and future grants and ensure only object owners can grant privileges to other roles. This is not true, as this contradicts the definition of a managed access schema. In a managed access schema, object owners cannot grant privileges on their objects to other roles, and only the schema owner or a role with the MANAGE GRANTS privilege can do so.
Reference:
Overview of Access Control
A Functional Approach For Snowflake's Role-Based Access Controls
Snowflake Role-Based Access Control simplified
Snowflake RBAC security prefers role inheritance to role composition
Overview of Snowflake Role Based Access Control

NEW QUESTION # 26
A company needs to have the following features available in its Snowflake account:
1. Support for Multi-Factor Authentication (MFA)
2. A minimum of 2 months of Time Travel availability
3. Database replication in between different regions
4. Native support for JDBC and ODBC
5. Customer-managed encryption keys using Tri-Secret Secure
6. Support for Payment Card Industry Data Security Standards (PCI DSS)
In order to provide all the listed services, what is the MINIMUM Snowflake edition that should be selected during account creation?

A. Enterprise
B. Business Critical
C. Standard
D. Virtual Private Snowflake (VPS)

Answer: B

NEW QUESTION # 27
......

You can get a reimbursement if you don't pass the SnowPro Advanced Architect Certification. This means that you can take the SnowPro Advanced Architect Certification (ARA-C01) with confidence because you know you won't loose any money if you don't pass the SnowPro Advanced Architect Certification (ARA-C01) exam. This is a great way to ensure that you're investing in your future in the correct way with Snowflake ARA-C01 exam questions.

Trustworthy ARA-C01 Pdf: https://www.prepawayexam.com/Snowflake/braindumps.ARA-C01.ete.file.html

P.S. Free & New ARA-C01 dumps are available on Google Drive shared by PrepAwayExam: https://drive.google.com/open?id=1XO2LlNVB7tCNbcA8UlGrc8UubpzgEVvT