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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.
Topic 2
  • Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.
Topic 3
  • Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 4
  • Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 5
  • Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q201-Q206):

NEW QUESTION # 201
A company has used an Amazon Redshift table that is named Orders for 6 months. The company performs weekly updates and deletes on the table. The table has an interleaved sort key on a column that contains AWS Regions.
The company wants to reclaim disk space so that the company will not run out of storage space.
The company also wants to analyze the sort key column.
Which Amazon Redshift command will meet these requirements?

Answer: C


NEW QUESTION # 202
A Data Engineer wants to check the status of a pipe named my_pipe. The pipe is inside a database named test and a schema named Extract (case-sensitive).
Which querywill provide the status of the pipe?

Answer: C

Explanation:
Explanation
The query that will provide the status of the pipe is SELECT * FROM
SYSTEM$PIPE_STATUS('test."Extract".my_pipe');. The SYSTEM$PIPE_STATUS function returns information about a pipe, such as its name, status, last received message timestamp, etc. The function takes one argument: the pipe name in a qualified form. The pipe name should include the database name, the schema name, and the pipe name, separated by dots. If any of these names are case-sensitive identifiers, they should be enclosed in double quotes. In this case, the schema name Extract is case-sensitive and should be quoted. The other options are incorrect because they do not follow the correct syntax for the pipe name argument. Option A and B use single quotes instead of double quotes for case-sensitive identifiers. Option D uses double quotes instead of single quotes for non-case-sensitive identifiers.


NEW QUESTION # 203
A company implements a data mesh that has a central governance account. The company needs to catalog all data in the governance account. The governance account uses AWS Lake Formation to centrally share data and grant access permissions.
The company has created a new data product that includes a group of Amazon Redshift Serverless tables. A data engineer needs to share the data product with a marketing team. The marketing team must have access to only a subset of columns. The data engineer needs to share the same data product with a compliance team. The compliance team must have access to a different subset of columns than the marketing team needs access to.
Which combination of steps should the data engineer take to meet these requirements? (Choose two.)

Answer: C,D


NEW QUESTION # 204
Two data engineering teams use separate AWS accounts. Both teams request access to the same datashare in an Amazon Redshift cluster that is in a third AWS account. The datashare is named salesshare.
A data engineer must use the Amazon Redshift SQL interface to grant both data engineering teams' access to the datashare.
Which command or commands will meet this requirement?

Answer: A

Explanation:
In Amazon Redshift data sharing, cross-account permissions for a datashare are granted to consumer cluster/serverless namespaces. Granting USAGE on the datashare to each consumer namespace enables both teams' Redshift environments in their respective accounts to create and query databases from the shared data.


NEW QUESTION # 205
The Snowpipe API provides REST endpoints for fetching load reports. One of the Endpoint named insertReport helps to retrieves a report of files submitted via insertFiles end point whose contents were recently ingested into a table. A success response (200) contains information about files that have recently been added to the table. Response Looks like below:
1.{
2."pipe": "SNOWTESTDB.SFTESTSCHEMA.SFpipe",
3."completeResult": true,
4."nextBeginMark": "1_16",
5."files": [
6.{
7."path": "data4859992083898.csv",
8."stageLocation": "s3://mybucket/",
9."fileSize": 89,
10."timeReceived": "2022-01-31T04:47:41.453Z",
11."lastInsertTime": "2022-01-31T04:48:28.575Z",
12."rowsInserted": 1,
13."rowsParsed": 1,
14."errorsSeen": 0,
15."errorLimit": 1,
16."complete": true,
17."status": "????"
18.}
19.]
20.}
Which one is the correct value of status string data in the Response Body?

Answer: C

Explanation:
Explanation
Permissible Load status for the file:
LOAD_IN_PROGRESS: Part of the file has been loaded into the table, but the load process has not completed yet.
LOADED: The entire file has been loaded successfully into the table.
LOAD_FAILED: The file load failed.
PARTIALLY_LOADED: Some rows from this file were loaded successfully, but others were not loaded due to errors. Processing of this file is completed.
Please not the different Response Codes available with their meaning.
200 - Success. Report returned.
400 - Failure. Invalid request due to an invalid format, or limit exceeded.
404 - Failure. pipeName not recognized.
This error code can also be returned if the role used when calling the endpoint does not have suffi-cient privileges. For more information, see Granting Access Privileges.
429 - Failure. Request rate limit exceeded.
500 - Failure. Internal error occurred.
As you could understand from the questions, there is 200 Success response returned, Status in the response body would be LOADED.


NEW QUESTION # 206
......

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