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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q94-Q99):

NEW QUESTION # 94
When loading data from stage using COPY INTO, what options can you specify for the ON_ERROR clause?

A. CONTINUE
B. FAIL
C. ABORT_STATEMENT
D. SKIP_FILE

Answer: A,C,D

Explanation:
* The ON_ERROR clause is an optional parameter for the COPY INTO command that specifies the behavior of the command when it encounters errors in the files. The ON_ERROR clause can have one of the following values1:
* CONTINUE: This value instructs the command to continue loading the file and return an error message for a maximum of one error encountered per data file. The difference between the ROWS_PARSED and ROWS_LOADED column values represents the number of rows that include detected errors. To view all errors in the data files, use the VALIDATION_MODE parameter or query the VALIDATE function1.
* SKIP_FILE: This value instructs the command to skip the file when it encounters a data error on any of the records in the file. The command moves on to the next file in the stage and continues loading. The skipped file is not loaded and no error message is returned for the file1.
* ABORT_STATEMENT: This value instructs the command to stop loading data when the first error is encountered. The command returns an error message for the file and aborts the load operation. This is the default value for the ON_ERROR clause1.
* Therefore, options A, B, and C are correct.
References: : COPY INTO <table>

NEW QUESTION # 95
An Architect is implementing a CI/CD process. When attempting to clone a table from a production to a development environment, the cloning operation fails.
What could be causing this to happen?

A. Tables cannot be cloned from a higher environment to a lower environment.
B. The table is transient.
C. The retention time for the table is set to zero.
D. The table has a masking policy.

Answer: D

Explanation:
Cloning a table with a masking policy can cause the cloning operation to fail because the masking policy is not automatically cloned with the table. This is due to the fact that the masking policy is considered a separate object with its own set of privileges1.
Reference
Snowflake Documentation on Cloning Considerations1.

NEW QUESTION # 96
An Architect needs to meet a company requirement to ingest files from the company's AWS storage accounts into the company's Snowflake Google Cloud Platform (GCP) account. How can the ingestion of these files into the company's Snowflake account be initiated? (Select TWO).

A. Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.
B. Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage.
C. Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.
D. Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage.
E. Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage.

Answer: A,C

Explanation:
Snowpipe is a feature that enables continuous, near-real-time data ingestion from external sources into Snowflake tables. Snowpipe can ingest files from Amazon S3, Google Cloud Storage, or Azure Blob Storage into Snowflake tables on any cloud platform. Snowpipe can be triggered in two ways: by using the Snowpipe REST API or by using cloud notifications2 To ingest files from the company's AWS storage accounts into the company's Snowflake GCP account, the Architect can use either of these methods:
Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method requires the client application to monitor the S3 buckets for new files and send a request to the Snowpipe REST API with the list of files to ingest. The client application must also handle authentication, error handling, and retry logic3 Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage. This method leverages the AWS Lambda service to execute a function that calls the Snowpipe REST API whenever an S3 event notification is received. The AWS Lambda function must be configured with the appropriate permissions, triggers, and code to invoke the Snowpipe REST API4 The other options are not valid methods for triggering Snowpipe:
Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage. This option is not feasible because Snowpipe does not support ingesting files from Amazon S3 Glacier storage, which is a long-term archival storage service. Snowpipe only supports ingesting files from Amazon S3 standard storage classes5 Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage. This option is not applicable because Snowpipe does not support cloud notifications from AWS SNS. Snowpipe only supports cloud notifications from AWS SQS, Google Cloud Pub/Sub, or Azure Event Grid6 Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage. This option is not relevant because it does not use Snowpipe, but rather the standard COPY command, which is a batch loading method. Moreover, the COPY command also does not support ingesting files from Amazon S3 Glacier storage7 Reference:
1: SnowPro Advanced: Architect | Study Guide 8
2: Snowflake Documentation | Snowpipe Overview 9
3: Snowflake Documentation | Using the Snowpipe REST API 10
4: Snowflake Documentation | Loading Data Using Snowpipe and AWS Lambda 11
5: Snowflake Documentation | Supported File Formats and Compression for Staged Data Files 12
6: Snowflake Documentation | Using Cloud Notifications to Trigger Snowpipe 13
7: Snowflake Documentation | Loading Data Using COPY into a Table
: SnowPro Advanced: Architect | Study Guide
: Snowpipe Overview
: Using the Snowpipe REST API
: Loading Data Using Snowpipe and AWS Lambda
: Supported File Formats and Compression for Staged Data Files
: Using Cloud Notifications to Trigger Snowpipe
: Loading Data Using COPY into a Table

NEW QUESTION # 97
An Architect is designing a data lake with Snowflake. The company has structured, semi-structured, and unstructured data. The company wants to save the data inside the data lake within the Snowflake system. The company is planning on sharing data among its corporate branches using Snowflake data sharing.
What should be considered when sharing the unstructured data within Snowflake?

A. A scoped URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 24-hour time limit for the URL.
B. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with the "expiration_time" argument defined for the URL time limit.
C. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 7-day time limit for the URL.
D. A pre-signed URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with no time limit for the URL.

Answer: A

Explanation:
When sharing unstructured data within Snowflake, using a scoped URL is recommended. Scoped URLs provide temporary access to staged files without granting privileges to the stage itself, enhancing security. The URL expires when the persisted query result period ends, which is currently set to 24 hours. This approach is suitable for sharing unstructured data over secure views within Snowflake's data sharing framework.
References: The answer is based on Snowflake's official documentation regarding the sharing of unstructured data and the use of scoped URLs1.

NEW QUESTION # 98
A user has the appropriate privilege to see unmasked data in a column.
If the user loads this column data into another column that does not have a masking policy, what will occur?

A. Unmasked data will be loaded into the new column and no users will be able to see the unmasked data.
B. Unmasked data will be loaded into the new column but only users with the appropriate privileges will be able to see the unmasked data.
C. Masked data will be loaded into the new column.
D. Unmasked data will be loaded in the new column.

Answer: D

Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, column masking policies are applied at query time based on the privileges of the user who runs the query. Therefore, if a user has the privilege to see unmasked data in a column, they will see the original data when they query that column. If they load this column data into another column that does not have a masking policy, the unmasked data will be loaded in the new column, and any user who can query the new column will see the unmasked data as well. The masking policy does not affect the underlying data in the column, only the query results.
Reference:
Snowflake Documentation: Column Masking
Snowflake Learning: Column Masking

NEW QUESTION # 99
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