ADA-C01 RELIABLE EXAM SYLLABUS, ADA-C01 RELIABLE EXAM SIMULATOR

ADA-C01 Reliable Exam Syllabus, ADA-C01 Reliable Exam Simulator

ADA-C01 Reliable Exam Syllabus, ADA-C01 Reliable Exam Simulator

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Tags: ADA-C01 Reliable Exam Syllabus, ADA-C01 Reliable Exam Simulator, ADA-C01 Examcollection Dumps, Exam ADA-C01 Pass4sure, Exam ADA-C01 Simulator

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Snowflake ADA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Set up and manage network and private connectivity
  • Given a scenario, manage Snowflake Time Travel and Fail-safe
Topic 2
  • Manage and implement data sharing
  • Given a set of business requirements, establish access control architecture
Topic 3
  • Given a scenario, manage databases, tables, and views
  • Manage organizations and access control
Topic 4
  • Implement and manage data governance in Snowflake
  • Data Sharing, Data Exchange, and Snowflake Marketplace

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Quiz ADA-C01 - SnowPro Advanced Administrator Updated Reliable Exam Syllabus

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Snowflake SnowPro Advanced Administrator Sample Questions (Q18-Q23):

NEW QUESTION # 18
An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.
The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.
Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

  • A. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
  • B. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
  • C. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.
  • D. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.

Answer: C

Explanation:
The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.


NEW QUESTION # 19
A company enabled replication between accounts and is ready to replicate data across regions in the same cloud service provider.
The primary database object is : PROD_AWS_EAST. Location : AWS_EAST
The secondary database object is : PROD_AWS_WEST. Location : AWS_WEST
What command and account location is needed to refresh the data?

  • A. Location : AWS_WEST
    Command : ALTER DATABASE PROD AWS WEST REFRESH;
  • B. Location : AWS_EAST
    Command : REFRESH DATABASE PROD_AWS_WEST REFRESH;
  • C. Location : AWS EAST
    Command: ALTER DATABASE PROD_AWS_WEST REFRESH;
  • D. Location : AWS_WEST
    Command : REFRESH DATABASE PROD_AWS WEST REFRESH;

Answer: D

Explanation:
The REFRESH DATABASE command is used to refresh a secondary database with the latest data and metadata from the primary database1. The command must be executed in the target account where the secondary database resides2. Therefore, the answer is A, as the location is AWS_WEST and the command is REFRESH DATABASE PROD_AWS_WEST REFRESH. The other options are incorrect because they either use the wrong location, the wrong command, or the wrong database name.


NEW QUESTION # 20
A Snowflake Administrator is investigating why a query is not re-using the persisted result cache.
The Administrator found the two relevant queries from the SNOWFLAKE. ACCOUNT_USAGE.
QUERY_HISTORY view:

Why is the second query re-scanning micro-partitions instead of using the first query's persisted result cache?

  • A. The queries are executed with two different virtual warehouses.
  • B. The second query includes a CURRENT_TIMESTAMP () function.
  • C. The queries are executed with two different roles.
  • D. The second query includes a CURRENT_DATE () function.

Answer: A

Explanation:
Explanation
The inclusion of the CURRENT_TIMESTAMP() function in the second query prevents it from re-using the first query's persisted result cache because this function makes each execution unique due to the constantly changing timestamp. According to the Snowflake documentation, "The query does not include non-reusable functions, which return different results for successive runs of the same query. UUID_STRING, RANDOM, and RANDSTR are good examples of non-reusable functions." The CURRENT_TIMESTAMP() function is another example of a non-reusable function, as it returns the current date and time at the start of query execution, which varies for each run. Therefore, the second query is not identical to the first query, and the result cache is not reused. The other options are either incorrect or irrelevant to the question. Option B is incorrect, as the CURRENT_DATE() function is a reusable function, as it returns the same value for all queries executed within the same day. Option C is irrelevant, as the virtual warehouse used to execute the query does not affect the result cache reuse. Option D is also irrelevant, as the role used to execute the query does not affect the result cache reuse, as long as the role has the necessary access privileges for all the tables used in the query.


NEW QUESTION # 21
A user has enrolled in Multi-factor Authentication (MFA) for connecting to Snowflake. The user informs the Snowflake Administrator that they lost their mobile phone the previous evening.
Which step should the Administrator take to allow the user to log in to the system, without revoking their MFA enrollment?

  • A. Alter the user and set MINS TO BYPASS MFA to a value that will disable MFA long enough for the user to log in.
  • B. Alter the user and set DISABLE_MFA to true, which will suspend the MFA requirement for 24 hours.
  • C. Instruct the user to connect to Snowflake using SnowSQL, which does not support MFA authentication.
  • D. Instruct the user to append the normal URL with /?mode=mfa_bypass&code= to log on.

Answer: A

Explanation:
Explanation
The MINS_TO_BYPASS_MFA property allows the account administrator to temporarily disable MFA for a user who has lost their phone or changed their phone number1. The user can log in without MFA for the specified number of minutes, and then re-enroll in MFA using their new phone1. This does not revoke their MFA enrollment, unlike the DISABLE_MFA property, which cancels their enrollment and requires them to re-enroll from scratch1. The other options are not valid ways to bypass MFA, as SnowSQL does support MFA authentication2, and there is no such URL parameter as /?mode=mfa_bypass&code= for Snowflake3


NEW QUESTION # 22
What Snowflake capabilities are commonly used in rollback scenarios? (Select TWO).

  • A. ALTER TABLE prd_table SWAP WITH prd_table_bkp;
  • B. CREATE TABLE prd_table_bkp CLONE prd_table BEFORE (STATEMENT => 'problematic_query_id');
  • C. SELECT SYSTEM$CANCEL_QUERY('problematic_query_id');
  • D. Contact Snowflake Support to retrieve Fail-safe data.
  • E. CREATE TABLE prd_table_bkp AS SELECT * FROM TABLE(RESULT_SCAN('problematic_query_id'));

Answer: A,B

Explanation:
Scenario: You want to rollback changes due to a problematic query (e.g., accidental data modification or corruption). Snowflake provides two powerful tools:
✅ B. CLONE ... BEFORE (STATEMENT => 'query_id')
This uses Time Travel + Zero-Copy Cloning.
You can clone a table as it existed before a specific query.
It creates a full copy of the table's state at that moment without duplicating storage.
Example:
CREATE TABLE prd_table_bkp CLONE prd_table
BEFORE (STATEMENT => '01a2b3c4-0000-0000-0000-123456789abc');
✅ D. ALTER TABLE ... SWAP WITH ...
Once you've cloned the backup, you can swap it with the live table.
This is a fast, atomic operation - ideal for rollback.
Example:
ALTER TABLE prd_table SWAP WITH prd_table_bkp;
❌ Why the Other Options Are Incorrect:
A . SELECT SYSTEM$CANCEL_QUERY(...)
Cancels a currently running query - doesn't help if the query already executed and caused damage.
C . CREATE TABLE ... AS SELECT * FROM RESULT_SCAN(...)
Reconstructs results, not the original table.
Only captures output rows, not full table state.
Not ideal for rollback.
E . Contact Snowflake Support to retrieve Fail-safe data
Fail-safe is for disaster recovery only, and only accessible by Snowflake support.
It's not intended for routine rollback or recovery and has a 7-day fixed retention (non-configurable).
SnowPro Administrator Reference:
Zero-Copy Cloning with Time Travel
ALTER TABLE SWAP
System Functions - SYSTEM$CANCEL_QUERY
Fail-safe Overview


NEW QUESTION # 23
......

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