Real ARA-C01 Exam, ARA-C01 Accurate Study Material

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BraindumpStudy has launched the ARA-C01 exam dumps with the collaboration of world-renowned professionals. Snowflake ARA-C01 exam study material has three formats: ARA-C01 PDF Questions, desktop Snowflake ARA-C01 practice test software, and a ARA-C01 web-based practice exam.

Snowflake ARA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Architect Certification Exam
Exam Number:	ARA-C01
Related Certifications:	SnowPro Core Certification
Exam Format:	Multiple select, Multiple choice
Exam Duration:	115 minutes
Available Languages:	English
Passing Score:	750 (scaled score out of 1000)
Real Exam Qty:	Approximately 65
Certificate Validity Period:	2 years
Exam Price:	$375 USD
Recommended Training:	Snowflake Training & Certification Learning Path
Exam Registration:	Snowflake Certification Portal
Sample Questions:	Snowflake ARA-C01 Sample Questions
Exam Way:	Online proctored exam
Pre Condition:	SnowPro Core Certification is strongly recommended and often expected before attempting the Advanced Architect exam
Official Syllabus URL:	https://www.snowflake.com/certification/

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ARA-C01 Accurate Study Material - Exam ARA-C01 Materials

By these three versions we have many repeat orders in a long run. The PDF version helps you read content easier at your process of studying with clear arrangement, and the PC Test Engine version allows you to take stimulation exam to check your process of exam preparing, which support windows system only. Moreover, there is the APP version, you can learn anywhere at any time with it at your cellphones without the limits of installation. As long as you are willing to exercise on a regular basis, the exam will be a piece of cake, because what our ARA-C01 practice materials include are quintessential points about the exam.

Snowflake ARA-C01 Exam covers a wide range of advanced topics related to Snowflake architecture, including data modeling, security, performance tuning, and data integration. Candidates are expected to have a deep understanding of Snowflake’s features and functionality, as well as the ability to apply this knowledge to real-world scenarios.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q125-Q130):

NEW QUESTION # 125
select metadata$filename, metadata$file_row_number from @filestage/data1.json.gz;
Please select the correct statements for the above-mentioned query.

A. FILESTAGE is the stage name, METADATA$FILE_ROW_NUMBER will give the row number for each record in the container staged data file
B. FILESTAGE is the file name, METADATA$FILE_ROW_NUMBER will give the path to the data file in the stage
C. FILESTAGE is the stage name, METADATA$FILE_ROW_NUMBER will give the path to the data file in the stage

Answer: A

NEW QUESTION # 126
A company has a table with that has corrupted data, named Dat
a. The company wants to recover the data as it was 5 minutes ago using cloning and Time Travel.
What command will accomplish this?

A. CREATE TABLE Recover_Data CLONE Data AT(OFFSET => -60*5);
B. CREATE TABLE Recover Data CLONE Data AT(TIME => -60*5);
C. CREATE CLONE TABLE Recover_Data FROM Data AT(OFFSET => -60*5);
D. CREATE CLONE Recover_Data FROM Data AT(OFFSET => -60*5);

Answer: A

Explanation:
This is the correct command to create a clone of the table Data as it was 5 minutes ago using cloning and Time Travel. Cloning is a feature that allows creating a copy of a database, schema, table, or view without duplicating the data or metadata. Time Travel is a feature that enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. To create a clone of a table at a point in time in the past, the syntax is:
CREATE TABLE <clone_name> CLONE <source_table> AT (OFFSET => <offset_in_seconds>); The OFFSET parameter specifies the time difference in seconds from the present time. A negative value indicates a point in the past. For example, -60*5 means 5 minutes ago. Alternatively, the TIMESTAMP parameter can be used to specify an exact timestamp in the past. The clone will contain the data as it existed in the source table at the specified point in time12.
Reference:
Snowflake Documentation: Cloning Objects
Snowflake Documentation: Cloning Objects at a Point in Time in the Past

NEW QUESTION # 127
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?

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 # 128
USERADMIN and Security administrators (i.e. users with the SECURITYADMIN role) or higher can create roles.

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 129
A table contacts_data contains a VARIANT column with nested JSON data.
Which queries correctly retrieve the first name value "Snow"? (Select TWO).

A. SELECT o:['customer']:['name']:['first']::STRING FROM contacts_data;
B. SELECT o[customer][name][first]::STRING FROM contacts_data;
C. SELECT o['customer']['name']['first']::STRING FROM contacts_data;
D. SELECT o:customer.name.first::STRING FROM contacts_data;
E. SELECT o:Customer.Name.First::STRING FROM contacts_data;

Answer: C,D

Explanation:
Snowflake supports multiple syntaxes for accessing elements in VARIANT columns. Bracket notation with quoted keys is valid for object traversal, making option B correct. Dot notation with colon syntax is also valid and commonly used for readability, as shown in option E.
Option A is invalid because unquoted identifiers inside brackets are interpreted as column names, not JSON keys. Option C contains incorrect syntax combining brackets and colons. Option D is invalid because JSON key names are case-sensitive unless quoted, and the provided structure uses lowercase keys.
Understanding VARIANT traversal syntax is a core SnowPro Architect skill for semi-structured data handling and transformation.
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NEW QUESTION # 130
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