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The Best DEA-C01 Exam Study Material and Preparation Test Question Dumps
NEW QUESTION # 34
Which callback function is required within a JavaScript User-Defined Function (UDF) for it to execute successfully?
- A. processRow ()
- B. finalize ()
- C. initialize ()
- D. handler
Answer: A
Explanation:
Explanation
The processRow () callback function is required within a JavaScript UDF for it to execute successfully. This function defines how each row of input data is processed and what output is returned. The other callback functions are optional and can be used for initialization, finalization, or error handling.
NEW QUESTION # 35
A company stores data in a data lake that is in Amazon S3. Some data that the company stores in the data lake contains personally identifiable information (PII). Multiple user groups need to access the raw data. The company must ensure that user groups can access only the PII that they require.
Which solution will meet these requirements with the LEAST effort?
- A. Use Amazon QuickSight to access the data. Use column-level security features in QuickSight to limit the PII that users can retrieve from Amazon S3 by using Amazon Athena. Define QuickSight access levels based on the PII access requirements of the users.
- B. Create IAM roles that have different levels of granular access. Assign the IAM roles to IAM user groups. Use an identity-based policy to assign access levels to user groups at the column level.
- C. Use Amazon Athena to query the data. Set up AWS Lake Formation and create data filters to establish levels of access for the company's IAM roles. Assign each user to the IAM role that matches the user's PII access requirements.
- D. Build a custom query builder UI that will run Athena queries in the background to access the data.
Create user groups in Amazon Cognito. Assign access levels to the user groups based on the PII access requirements of the users.
Answer: C
Explanation:
https://aws.amazon.com/blogs/big-data/anonymize-and-manage-data-in-your-data-lake-with- amazon-athena-and-aws-lake-formation/
NEW QUESTION # 36
Ron, Snowflake Developer needs to capture change data (insert only) on the source views, for that he follows the below steps:
Enable change tracking on the source views & its underlying tables.
Inserted the data via Scripts scheduled with the help of Tasks.
then simply run the below Select statements.
1.select *
2.from test_table
3.changes(information => append_only)
4.at(timestamp => (select current_timestamp()));
Select the Correct Query Execution Output option below:
- A. No Error reported, select command gives Changed records with Metadata columns as change tracking enabled on the Source views & its underlying tables.
- B. Select statement complied but gives erroneous results.
- C. Developer missed to create stream on the source table which can further query to cap-ture DML records.
- D. Select query will fail with error: 'SQL compilation error-Incorrect Keyword "Chang-es()" found'
Answer: A
Explanation:
Explanation
As an alternative to streams, Snowflake supports querying change tracking metadata for tables or views using the CHANGES clause for SELECT statements. The CHANGES clause enables query-ing change tracking metadata between two points in time without having to create a stream with an explicit transactional offset.
To Know more about Snowflake CHANGES clause, please refer the mentioned link:
https://docs.snowflake.com/en/sql-reference/constructs/changes
NEW QUESTION # 37
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?
- A. SUCCESS
- B. LOADED
- C. LOADED_SUCCESS
- D. LOAD_SUCCESS
Answer: D
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 # 38
External Function is a type of UDF & can be Scaler or Tabular?
- A. TRUE
- B. FALSE
Answer: B
Explanation:
Explanation
External functions must be scalar functions. A scalar external function returns a single value for each input row.
NEW QUESTION # 39
A Data Engineer has developed a dashboard that will issue the same SQL select clause to Snowflake every 12 hours.
---will Snowflake use the persisted query results from the result cache provided that the underlying data has not changed^
- A. 31 days
- B. 14 days
- C. 12 hours
- D. 24 hours
Answer: B
Explanation:
Explanation
Snowflake uses the result cache to store the results of queries that have been executed recently. The result cache is maintained at the account level and is shared across all sessions and users. The result cache is invalidated when any changes are made to the tables or views referenced by the query. Snowflake also has a retention policy for the result cache, which determines how long the results are kept in the cache before they are purged. The default retention period for the result cache is 24 hours, but it can be changed at the account, user, or session level. However, there is a maximum retention period of 14 days for the result cache, which cannot be exceeded. Therefore, if the underlying data has not changed, Snowflake will use the persisted query results from the result cache for up to 14 days.
NEW QUESTION # 40
A company is planning to upgrade its Amazon Elastic Block Store (Amazon EBS) General Purpose SSD storage from gp2 to gp3. The company wants to prevent any interruptions in its Amazon EC2 instances that will cause data loss during the migration to the upgraded storage.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create new gp3 volumes. Gradually transfer the data to the new gp3 volumes. When the transfer is complete, mount the new gp3 volumes to the EC2 instances to replace the gp2 volumes.
- B. Create snapshots of the gp2 volumes. Create new gp3 volumes from the snapshots. Attach the new gp3 volumes to the EC2 instances.
- C. Change the volume type of the existing gp2 volumes to gp3. Enter new values for volume size, IOPS, and throughput.
- D. Use AWS DataSync to create new gp3 volumes. Transfer the data from the original gp2 volumes to the new gp3 volumes.
Answer: C
NEW QUESTION # 41
A Data Engineer wants to centralize grant management to maximize security. A user needs ownership on a table m a new schema However, this user should not have the ability to make grant decisions What is the correct way to do this?
- A. Revoke grant decisions from the user on the schema.
- B. Revoke grant decisions from the user on the table
- C. Add the with managed access parameter on the schema
- D. Grant ownership to the user on the table
Answer: C
Explanation:
Explanation
The with managed access parameter on the schema enables the schema owner to control the grant and revoke privileges on the objects within the schema. This way, the user who owns the table cannot make grant decisions, but only the schema owner can. This is the best way to centralize grant management and maximize security.
NEW QUESTION # 42
Which use case would be BEST suited for the search optimization service?
- A. Data Scientists who seek specific JOIN statements with large volumes of data
- B. Business users who need fast response times using highly selective filters
- C. Analysts who need to perform aggregates over high cardinality columns
- D. Data Engineers who create clustered tables with frequent reads against clustering keys
Answer: B
Explanation:
Explanation
The use case that would be best suited for the search optimization service is business users who need fast response times using highly selective filters. The search optimization service is a feature that enables faster queries on tables with high cardinality columns by creating inverted indexes on those columns. High cardinality columns are columns that have a large number of distinct values, such as customer IDs, product SKUs, or email addresses. Queries that use highly selective filters on high cardinality columns can benefit from the search optimization service because they can quickly locate the relevant rows without scanning the entire table. The other options are not best suited for the search optimization service. Option A is incorrect because analysts who need to perform aggregates over high cardinality columns will not benefit from the search optimization service, as they will still need to scan all the rows that match the filter criteria. Option C is incorrect because data scientists who seek specific JOIN statements with large volumes of data will not benefit from the search optimization service, as they will still need to perform join operations that may involve shuffling or sorting data across nodes. Option D is incorrect because data engineers who create clustered tables with frequent reads against clustering keys will not benefit from the search optimization service, as they already have an efficient way to organize and access data based on clustering keys.
NEW QUESTION # 43
A company has five offices in different AWS Regions. Each office has its own human resources (HR) department that uses a unique IAM role. The company stores employee records in a data lake that is based on Amazon S3 storage.
A data engineering team needs to limit access to the records. Each HR department should be able to access records for only employees who are within the HR department's Region.
Which combination of steps should the data engineering team take to meet this requirement with the LEAST operational overhead? (Choose two.)
- A. Create a separate S3 bucket for each Region. Configure an IAM policy to allow S3 access.Restrict access based on Region.
- B. Register the S3 path as an AWS Lake Formation location.
- C. Use data filters for each Region to register the S3 paths as data locations.
- D. Modify the IAM roles of the HR departments to add a data filter for each department's Region.
- E. Enable fine-grained access control in AWS Lake Formation. Add a data filter for each Region.
Answer: B,E
Explanation:
https://docs.aws.amazon.com/lake-formation/latest/dg/data-filters-about.html
https://docs.aws.amazon.com/lake-formation/latest/dg/access-control-fine-grained.html
NEW QUESTION # 44
Tasks may optionally use table streams to provide a convenient way to continuously process new or changed data. A task can transform new or changed rows that a stream surfaces. Each time a task is scheduled to run, it can verify whether a stream contains change data for a table and either consume the change data or skip the current run if no change data exists. Which System Function can be used by Data engineer to verify whether a stream contains changed data for a table?
- A. SYSTEM$STREAM_CDC_DATA
- B. SYSTEM$STREAM_HAS_CHANGE_DATA
- C. SYSTEM$STREAM_DELTA_DATA
- D. SYSTEM$STREAM_HAS_DATA
Answer: D
Explanation:
Explanation
SYSTEM$STREAM_HAS_DATA
Indicates whether a specified stream contains change data capture (CDC) records.
NEW QUESTION # 45
What is the purpose of the BUILD_FILE_URL function in Snowflake?
- A. It generates a temporary URL for accessing a file in a stage.
- B. It generates an encrypted URL foe accessing a file in a stage.
- C. It generates a staged URL for accessing a file in a stage.
- D. It generates a permanent URL for accessing files in a stage.
Answer: C
Explanation:
Explanation
The BUILD_FILE_URL function in Snowflake generates a temporary URL for accessing a file in a stage. The function takes two arguments: the stage name and the file path. The generated URL is valid for 24 hours and can be used to download or view the file contents. The other options are incorrect because they do not describe the purpose of the BUILD_FILE_URL function.
NEW QUESTION # 46
By default, a newly-created Custom role is not assigned to any user, nor granted to any other role?
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 47
For SQL UDFs, The invoker of the function need not have access to the objects referenced in the function definition, but only needs the privilege to use the function?
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 48
An ecommerce company wants to use AWS to migrate data pipelines from an on-premises environment into the AWS Cloud. The company currently uses a third-party tool in the on- premises environment to orchestrate data ingestion processes.
The company wants a migration solution that does not require the company to manage servers.
The solution must be able to orchestrate Python and Bash scripts. The solution must not require the company to refactor any code.
Which solution will meet these requirements with the LEAST operational overhead?
- A. AWS Glue
- B. AWS Lambda
- C. Amazon Managed Workflows for Apache Airflow (Amazon MVVAA)
- D. AWS Step Functions
Answer: C
Explanation:
All of the components contained in the outer box (in the image below) appear as a single Amazon MWAA environment in your account. The Apache Airflow Scheduler and Workers are AWS Fargate (Fargate) containers that connect to the private subnets in the Amazon VPC for your environment. Each environment has its own Apache Airflow metadatabase managed by AWS that is accessible to the Scheduler and Workers Fargate containers via a privately-secured VPC endpoint.
https://docs.aws.amazon.com/mwaa/latest/userguide/what-is-mwaa.html
NEW QUESTION # 49
Pivoting in SQL is mainly used to transform data from:
- A. Multiple columns into multiple rows
- B. One row to one column
- C. Multiple rows into multiple columns
- D. Only one column to one row
Answer: C
NEW QUESTION # 50
A company's data engineer needs to optimize the performance of table SQL queries. The company stores data in an Amazon Redshift cluster. The data engineer cannot increase the size of the cluster because of budget constraints.
The company stores the data in multiple tables and loads the data by using the EVEN distribution style. Some tables are hundreds of gigabytes in size. Other tables are less than 10 MB in size.
Which solution will meet these requirements?
- A. Keep using the EVEN distribution style for all tables. Specify primary and foreign keys for all tables.
- B. Use the ALL distribution style for large tables. Specify primary and foreign keys for all tables.
- C. Specify a combination of distribution, sort, and partition keys for all tables.
- D. Use the ALL distribution style for rarely updated small tables. Specify primary and foreign keys for all tables.
Answer: D
Explanation:
Use the ALL Distribution Style for Rarely Updated Small Tables. This approach optimizes the performance of joins involving these smaller tables and is a common best practice in Redshift data warehousing. For the larger tables, maintaining the EVEN distribution style or considering a KEY-based distribution (if there are common join columns) could be more appropriate.
NEW QUESTION # 51
A data engineer needs to join data from multiple sources to perform a one-time analysis job. The data is stored in Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3.
Which solution will meet this requirement MOST cost-effectively?
- A. Use an Amazon EMR provisioned cluster to read from all sources. Use Apache Spark to join the data and perform the analysis.
- B. Use Amazon Athena Federated Query to join the data from all data sources.
- C. Use Redshift Spectrum to query data from DynamoDB, Amazon RDS, and Amazon S3 directly from Redshift.
- D. Copy the data from DynamoDB, Amazon RDS, and Amazon Redshift into Amazon S3. Run Amazon Athena queries directly on the S3 files.
Answer: B
Explanation:
You can query these sources by using Federated Queries, which is a native feature of Athena.
The other options may increase costs and operational overhead, as they use more than one service to achieve the same result.
https://docs.aws.amazon.com/athena/latest/ug/connectors-available.html
NEW QUESTION # 52
Mark the Correct Statements for the VALIDATION_MODE option used by Data Engineer for Da-ta loading operations in his/her COPY INTO <table> command:
- A. VALIDATION_MODE instructs the COPY command to validate the data files instead of loading them into the specified table; i.e., the COPY command tests the files for er-rors but does not load them.
- B. VALIDATION_MODE option supported these values:
RETURN_n_ROWS,
RETURN_ERRORS,
RETURN_ALL_ERRORS - C. VALIDATION_MODE does not support COPY statements that transform data during a load. If the parameter is specified, the COPY statement returns an error.
- D. VALIDATION_MODE only support Data loading operation i.e., do not work while da-ta unloading.
Answer: A,B,C
Explanation:
Explanation
All the Statements are correct except the statement saying VALIDATION_MODE only support Data loading operation.
VALIDATION_MODE can be used with COPY INTO <location> command as well i.e for data unloading operation.
VALIDATION_MODE = RETURN_ROWS can be used at the time of Data unloading.
This option instructs the COPY command to return the results of the query in the SQL statement instead of unloading the results to the specified cloud storage location. The only supported valida-tion option is RETURN_ROWS. This option returns all rows produced by the query.
When you have validated the query, you can remove the VALIDATION_MODE to perform the unload operation.
NEW QUESTION # 53
Elon, a Data Engineer, needs to Split Semi-structured Elements from the Source files and load them as an array into Separate Columns.
Source File:
1.+----------------------------------------------------------------------+
2.| $1 |
3.|----------------------------------------------------------------------|
4.| {"mac_address": {"host1": "197.128.1.1","host2": "197.168.0.1"}}, |
5.| {"mac_address": {"host1": "197.168.2.1","host2": "197.168.3.1"}} |
6.+----------------------------------------------------------------------+ Output: Splitting the Machine Address as below.
1.COL1 | COL2 |
2.|----------+----------|
3.| [ | [ |
4.| "197", | "197", |
5.| "128", | "168", |
6.| "1", | "0", |
7.| "1" | "1" |
8.| ] | ] |
9.| [ | [ |
10.| "197", | "197", |
11.| "168", | "168", |
12.| "2", | "3", |
13.| "1" | "1" |
14.| ] | ]
Which SnowFlake Function can Elon use to transform this semi structured data in the output for-mat?
- A. NEST
- B. CONVERT_TO_ARRAY
- C. SPLIT
- D. GROUP_BY_CONNECT
Answer: C
NEW QUESTION # 54
A company is using an AWS Transfer Family server to migrate data from an on-premises environment to AWS. Company policy mandates the use of TLS 1.2 or above to encrypt the data in transit.
Which solution will meet these requirements?
- A. Update the security policy of the Transfer Family server to specify a minimum protocol version of TLS 1.2
- B. Update the security group rules for the on-premises network to allow only connections that use TLS 1.2 or above.
- C. Install an SSL certificate on the Transfer Family server to encrypt data transfers by using TLS 1.2.
- D. Generate new SSH keys for the Transfer Family server. Make the old keys and the new keys available for use.
Answer: A
Explanation:
https://docs.aws.amazon.com/transfer/latest/userguide/security-policies.html
NEW QUESTION # 55
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