Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Snowflake ARA-R01 Exam - Topic 2 Question 27 Discussion

Actual exam question for Snowflake's ARA-R01 exam
Question #: 27
Topic #: 2
[All ARA-R01 Questions]

When using the copy into

command with the CSV file format, how does the match_by_column_name parameter behave?

Show Suggested AnswerHide Answer
Suggested Answer: D

When a new table (table_6) is added to a schema in the provider's account that is part of a data share, the consumer will not automatically see the new table. The consumer will only be able to access the new table once the appropriate privileges are granted by the provider. The correct process, as outlined in option D, involves using the provider's ACCOUNTADMIN role to grant USAGE privileges on the database and schema, followed by SELECT privileges on the new table, specifically to the share that includes the consumer's database. This ensures that the consumer account can access the new table under the established data sharing setup. Reference:

Snowflake Documentation on Managing Access Control

Snowflake Documentation on Data Sharing


by Stephaine at Jan 24, 2025, 09:54 PM

Limited Time Offer

25%

Off

Get Premium ARA-R01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Jade
6 months ago
Yeah, I've seen it match headers before, pretty cool!
upvoted 0 times
...
Esteban
6 months ago
Wait, are you sure it doesn't throw an error?
upvoted 0 times
...
Irene
6 months ago
Definitely returns a warning for unmatched columns.
upvoted 0 times
...
Florinda
7 months ago
I thought it just ignored that parameter?
upvoted 0 times
...
Artie
7 months ago
It needs a header in the CSV, totally case-sensitive!
upvoted 0 times
...
Eve
7 months ago
I vaguely recall that if there are unmatched columns, it might return a warning, but I can't remember the specifics.
upvoted 0 times
...
Chauncey
7 months ago
I thought the parameter would be ignored, but now I'm second-guessing myself after reviewing the options.
upvoted 0 times
...
Edna
7 months ago
I remember practicing a similar question, and I feel like option A sounds right, but I could be mixing it up with another command.
upvoted 0 times
...
Ettie
8 months ago
I think the match_by_column_name parameter requires a header in the CSV file, but I'm not sure if it's case-sensitive.
upvoted 0 times
...
Shawana
8 months ago
I'm feeling pretty confident about this one. The parameter expects a header in the CSV file, and the column names need to match the table column names. I'll select option A.
upvoted 0 times
...
Linn
8 months ago
Okay, I've got a strategy for this. The key is understanding how the match_by_column_name parameter works. I'll review the documentation and then make my best guess.
upvoted 0 times
...
Cortney
8 months ago
Hmm, I'm a bit confused about this one. I'm not sure if the parameter will be ignored or if it will return an error. I'll have to think it through carefully.
upvoted 0 times
...
Rory
8 months ago
I think this question is pretty straightforward. The match_by_column_name parameter expects a header in the CSV file, so I'll go with option A.
upvoted 0 times
...
Shawn
1 year ago
I'm going with A. Who cares about the other options? As long as I get that header row right, I'll be golden!
upvoted 0 times
Tyisha
11 months ago
Exactly, let's just focus on getting that header row correct.
upvoted 0 times
...
Veronique
12 months ago
Yeah, that's the most important part. The rest doesn't really matter.
upvoted 0 times
...
Demetra
1 year ago
I agree, as long as the header matches the table column name, we should be good to go.
upvoted 0 times
...
...
Deja
1 year ago
D seems like the most reasonable answer. If the column names don't match, it would make sense to get a warning rather than an error.
upvoted 0 times
Elise
1 year ago
D) The command will return a warning stating that the file has unmatched columns.
upvoted 0 times
...
Delsie
1 year ago
A) It expects a header to be present in the CSV file, which is matched to a case-sensitive table column name.
upvoted 0 times
...
Twana
1 year ago
A) It expects a header to be present in the CSV file, which is matched to a case-sensitive table column name.
upvoted 0 times
...
Alison
1 year ago
I agree, it would be helpful to get a warning instead of an error.
upvoted 0 times
...
Hester
1 year ago
D) The command will return a warning stating that the file has unmatched columns.
upvoted 0 times
...
Tequila
1 year ago
D) The command will return a warning stating that the file has unmatched columns.
upvoted 0 times
...
...
Annamae
1 year ago
Definitely not C. I can't imagine the command would return an error just because of a parameter being used.
upvoted 0 times
...
Norah
1 year ago
I think B is correct. The official docs say this parameter is optional, so it should be ignored if not provided.
upvoted 0 times
Ira
1 year ago
B) The parameter will be ignored.
upvoted 0 times
...
Keva
1 year ago
A) It expects a header to be present in the CSV file, which is matched to a case-sensitive table column name.
upvoted 0 times
...
...
Margurite
1 year ago
Option A sounds right to me. The documentation mentions that the match_by_column_name parameter expects the CSV file to have a header row that matches the table column names.
upvoted 0 times
...
Fallon
1 year ago
I'm not sure, but I think the command will return an error if there is no header in the CSV file.
upvoted 0 times
...
Deeanna
1 year ago
I agree with Jesse, because without a header, how can the command match the columns correctly?
upvoted 0 times
...
Jesse
1 year ago
I think the answer is A) It expects a header to be present in the CSV file, which is matched to a case-sensitive table column name.
upvoted 0 times
...