Assume Snowflake ARA-C01 Dumps PDF Are going to be The Best Score [Q26-Q50]

NEW QUESTION 26
How can the Snowpipe REST API be used to keep a log of data load history?

Call insertReport every 20 minutes, fetching the last 10,000 entries.

Call loadHistoryScan every minute for the maximum time range.

Call insertReport every 8 minutes for a 10-minute time range.

Call loadHistoryScan every 10 minutes for a 15-minutes range.

NEW QUESTION 27
Is it possible for a data provider account with a Snowflake Business Critical edition to share data with an Enterprise edition data consumer account?

A Business Critical account cannot be a data sharing provider to an Enterprise consumer. Any consumer accounts must also be Business Critical.

If a user in the provider account with role authority to create or alter share adds an Enterprise account as a consumer, it can import the share.

If a user in the provider account with a share owning role sets share_restrictions to False when adding an Enterprise consumer account, it can import the share.

If a user in the provider account with a share owning role which also has override share restrictions privilege share_restrictions set to False when adding an Enterprise consumer account, it can import the share.

Data sharing is a feature that allows Snowflake accounts to share data with each other without the need for data movement or copying1. Data sharing is enabled by creating shares, which are collections of database objects (tables, views, secure views, and secure UDFs) that can be accessed by other accounts, called consumers2.
By default, Snowflake does not allow sharing data from a Business Critical edition account to a non-Business Critical edition account. This is because Business Critical edition offers higher levels of data protection and encryption than other editions, and sharing data with lower editions may compromise the security and compliance of the data3.
However, Snowflake provides the OVERRIDE SHARE RESTRICTIONS global privilege, which allows a user to override the default restriction and share data from a Business Critical edition account to a non-Business Critical edition account. This privilege is granted to the ACCOUNTADMIN role by default, and can be granted to other roles as well4.
To enable data sharing from a Business Critical edition account to an Enterprise edition account, the following steps are required34:
A user in the provider account with the OVERRIDE SHARE RESTRICTIONS privilege must create or alter a share and add the Enterprise edition account as a consumer. The user must also set the share_restrictions parameter to False when adding the consumer. This parameter indicates whether the share is restricted to Business Critical edition accounts only. Setting it to False allows the share to be imported by lower edition accounts.
A user in the consumer account with the IMPORT SHARE privilege must import the share and grant access to the share objects to other roles in the account. The user must also set the share_restrictions parameter to False when importing the share. This parameter indicates whether the consumer account accepts shares from Business Critical edition accounts only. Setting it to False allows the consumer account to import shares from lower edition accounts.
Reference:
1: Introduction to Secure Data Sharing | Snowflake Documentation
2: Creating Secure Data Shares | Snowflake Documentation
3: Enable Data Share:Business Critical Account to Lower Edition | Medium
4: Enabling sharing from a Business critical account to a non-business … | Snowflake Documentation

NEW QUESTION 28
create or replace table result_scan_table as
select * from table(result_scan(last_query_id()));
Will the above query cost you any compute credits?

It will not cost any compute credit because this query is a metadata operation

It will cost compute credit because processing is required to insert the data into result_scan_table

It will depend on the warehouse chosen

NEW QUESTION 29
For which use cases, will you use cross-cloud and cross-region replication?

Business continuity and disaster recovery

Secure data sharing across regions/cloud

Data portability and account migrations

All of these

NEW QUESTION 30
Which command will create a schema without Fail-safe and will restrict object owners from passing on access to other users?

create schema EDW.ACCOUNTING WITH MANAGED ACCESS;

create schema EDW.ACCOUNTING WITH MANAGED ACCESS DATA_RETENTION_TIME_IN_DAYS – 7;

create TRANSIENT schema EDW.ACCOUNTING WITH MANAGED ACCESS DATA_RETENTION_TIME_IN_DAYS = 1;

create TRANSIENT schema EDW.ACCOUNTING WITH MANAGED ACCESS DATA_RETENTION_TIME_IN_DAYS = 7;

NEW QUESTION 31
Which of the below approach results in perfromance improvement through linear scaling of data ingestion workload?

Split large files into recommended range of 10 MB to 100 MB

Organize data by granular path

Resize virtual warehouse

All of the above

NEW QUESTION 32
An Architect needs to allow a user to create a database from an inbound share.
To meet this requirement, the user’s role must have which privileges? (Choose two.)

IMPORT SHARE;

IMPORT PRIVILEGES;

CREATE DATABASE;

CREATE SHARE;

IMPORT DATABASE;

NEW QUESTION 33
An Architect has been asked to clone schema STAGING as it looked one week ago, Tuesday June 1st at 8:00 AM, to recover some objects.
The STAGING schema has 50 days of retention.
The Architect runs the following statement:
CREATE SCHEMA STAGING_CLONE CLONE STAGING at (timestamp => ‘2021-06-01 08:00:00’); The Architect receives the following error: Time travel data is not available for schema STAGING. The requested time is either beyond the allowed time travel period or before the object creation time.
The Architect then checks the schema history and sees the following:
CREATED_ON|NAME|DROPPED_ON
2021-06-02 23:00:00 | STAGING | NULL
2021-05-01 10:00:00 | STAGING | 2021-06-02 23:00:00
How can cloning the STAGING schema be achieved?

Undrop the STAGING schema and then rerun the CLONE statement.

Modify the statement: CREATE SCHEMA STAGING_CLONE CLONE STAGING at (timestamp => ‘2021-05-01 10:00:00’);

Rename the STAGING schema and perform an UNDROP to retrieve the previous STAGING schema version, then run the CLONE statement.

Cloning cannot be accomplished because the STAGING schema version was not active during the proposed Time Travel time period.

NEW QUESTION 34
A user who has SELECT privilege on a view does not also need SELECT privilege on the tables that the view uses

TRUE

FALSE

NEW QUESTION 35
An Architect on a new project has been asked to design an architecture that meets Snowflake security, compliance, and governance requirements as follows:
1) Use Tri-Secret Secure in Snowflake
2) Share some information stored in a view with another Snowflake customer
3) Hide portions of sensitive information from some columns
4) Use zero-copy cloning to refresh the non-production environment from the production environment To meet these requirements, which design elements must be implemented? (Choose three.)

Define row access policies.

Use the Business-Critical edition of Snowflake.

Create a secure view.

Use the Enterprise edition of Snowflake.

Use Dynamic Data Masking.

Create a materialized view.

NEW QUESTION 36
A company has a table with that has corrupted data, named Data. The company wants to recover the data as it was 5 minutes ago using cloning and Time Travel.
What command will accomplish this?

CREATE CLONE TABLE Recover_Data FROM Data AT(OFFSET => -60*5);

CREATE CLONE Recover_Data FROM Data AT(OFFSET => -60*5);

CREATE TABLE Recover_Data CLONE Data AT(OFFSET => -60*5);

CREATE TABLE Recover Data CLONE Data AT(TIME => -60*5);

NEW QUESTION 37
You have created a TASK in snowflake.
How will you resume it?

No need to resume, the creation operation automatically enables the task

ALTER TASK mytask1 RESUME;

ALTER TASK mytask1 START;

NEW QUESTION 38
A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions. The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.
The company’s Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.
According to Snowflake recommended best practice, how should these requirements be met?

Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.

Deploy a Private Data Exchange in combination with data shares for the European accounts.

Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.

Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.

Explanation
According to Snowflake recommended best practice, the requirements of the large manufacturing company should be met by deploying a Private Data Exchange in combination with data shares for the European accounts. A Private Data Exchange is a feature of the Snowflake Data Cloud platform that enables secure and governed sharing of data between organizations. It allows Snowflake customers to create their own data hub and invite other parts of their organization or external partners to access and contribute data sets. A Private Data Exchange provides centralized management, granular access control, and data usage metrics for the data shared in the exchange1. A data share is a secure and direct way of sharing data between Snowflake accounts without having to copy or move the data. A data share allows the data provider to grant privileges on selected objects in their account to one or more data consumers in other accounts2. By using a Private Data Exchange in combination with data shares, the company can achieve the following benefits:
* The business divisions can decide what data to share and publish it to the Private Data Exchange, where it can be discovered and accessed by other members of the exchange. This reduces the effort and complexity of managing multiple data sharing relationships and configurations.
* The company can leverage the existing Snowflake accounts in the same cloud deployments to create the Private Data Exchange and invite the members to join. This minimizes the migration and setup costs and leverages the existing Snowflake features and security.
* The company can use data shares to share data with the European accounts that are in different regions or cloud platforms. This allows the company to comply with the regional and regulatory requirements for data sovereignty and privacy, while still enabling data collaboration across the organization.
* The company can use the Snowflake Data Cloud platform to perform data analysis and transformation on the shared data, as well as integrate with other data sources and applications. This enables the company to optimize its supply chain and increase its purchasing leverage with multiple vendors.
The other options are incorrect because they do not meet the requirements or follow the best practices. Option A is incorrect because migrating the European accounts to the global region may violate the data sovereignty and privacy regulations, and deploying a Data Exchange may not provide the level of control and management that the company needs. Option C is incorrect because deploying to the Snowflake Marketplace may expose the company’s data to unwanted consumers, and using invoker_share() in secure views may not provide the desired level of security and governance. Option D is incorrect because using replication to allow European data shares in the Exchange may incur additional costs and complexity, and may not be necessary if data shares can be used instead. References: Private Data Exchange | Snowflake Documentation, Introduction to Secure Data Sharing | Snowflake Documentation

NEW QUESTION 39
A company is storing large numbers of small JSON files (ranging from 1-4 bytes) that are received from IoT devices and sent to a cloud provider. In any given hour, 100,000 files are added to the cloud provider.
What is the MOST cost-effective way to bring this data into a Snowflake table?

An external table

A pipe

A stream

A copy command at regular intervals

* A pipe is a Snowflake object that continuously loads data from files in a stage (internal or external) into a table. A pipe can be configured to use auto-ingest, which means that Snowflake automatically detects new or modified files in the stage and loads them into the table without any manual intervention1.
* A pipe is the most cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it minimizes the number of COPY commands executed and the number of micro-partitions created. A pipe can use file aggregation, which means that it can combine multiple small files into a single larger file before loading them into the table. This reduces the load time and the storage cost of the data2.
* An external table is a Snowflake object that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table does not store the data in Snowflake, but only provides a view of the data for querying. An external table is not a cost-effective way to bring data into a Snowflake table, because it does not support file aggregation, and it requires additional network bandwidth and compute resources to query the external data3.
* A stream is a Snowflake object that records the history of changes (inserts, updates, and deletes) made to a table. A stream can be used to consume the changes from a table and apply them to another table or a task. A stream is not a way to bring data into a Snowflake table, but a way to process the data after it is loaded into a table4.
* A copy command is a Snowflake command that loads data from files in a stage into a table. A copy command can be executed manually or scheduled using a task. A copy command is not a cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it does not support file aggregation, and it may create many micro-partitions that increase the storage cost of the data5.
References: : Pipes : Loading Data Using Snowpipe : External Tables : Streams : COPY INTO <table>

NEW QUESTION 40
A company’s daily Snowflake workload consists of a huge number of concurrent queries triggered between
9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.
What configuration can the company’s Architect implement to enhance the performance of this workload?
(Choose two.)

Enable a multi-clustered virtual warehouse in maximized mode during the workload duration.

Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.

Increase the size of the virtual warehouse to size X-Large.

Reduce the amount of data that is being processed through this workload.

Set the connection timeout to a higher value than its default.

NEW QUESTION 41
Company A would like to share data in Snowflake with Company B. Company B is not on the same cloud platform as Company A.
What is required to allow data sharing between these two companies?

Create a pipeline to write shared data to a cloud storage location in the target cloud provider.

Ensure that all views are persisted, as views cannot be shared across cloud platforms.

Setup data replication to the region and cloud platform where the consumer resides.

Company A and Company B must agree to use a single cloud platform: Data sharing is only possible if the companies share the same cloud provider.

According to the SnowPro Advanced: Architect documents and learning resources, the requirement to allow data sharing between two companies that are not on the same cloud platform is to set up data replication to the region and cloud platform where the consumer resides. Data replication is a feature of Snowflake that enables copying databases across accounts in different regions and cloud platforms. Data replication allows data providers to securely share data with data consumers across different regions and cloud platforms by creating a replica database in the consumer’s account. The replica database is read-only and automatically synchronized with the primary database in the provider’s account. Data replication is useful for scenarios where data sharing is not possible or desirable due to latency, compliance, or security reasons1. The other options are incorrect because they are not required or feasible to allow data sharing between two companies that are not on the same cloud platform. Option A is incorrect because creating a pipeline to write shared data to a cloud storage location in the target cloud provider is not a secure or efficient way of sharing data. It would require additional steps to load the data from the cloud storage to the consumer’s account, and it would not leverage the benefits of Snowflake’s data sharing features. Option B is incorrect because ensuring that all views are persisted is not relevant for data sharing across cloud platforms. Views can be shared across cloud platforms as long as they reference objects in the same database. Persisting views is an option to improve the performance of querying views, but it is not required for data sharing2. Option D is incorrect because Company A and Company B do not need to agree to use a single cloud platform. Data sharing is possible across different cloud platforms using data replication or other methods, such as listings or auto-fulfillment3. References: Replicating Databases Across Multiple Accounts | Snowflake Documentation, Persisting Views | Snowflake Documentation, Sharing Data Across Regions and Cloud Platforms | Snowflake Documentation

NEW QUESTION 42
A user can change object parameters using which of the following roles?

ACCOUNTADMIN, SECURITYADMIN

SYSADMIN, SECURITYADMIN

ACCOUNTADMIN, USER with PRIVILEGE

SECURITYADMIN, USER with PRIVILEGE

NEW QUESTION 43
An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?

Search optimization service

Materialized view

Time Travel

Zero-copy cloning

Secure views

NEW QUESTION 44
Consider the following scenario where a masking policy is applied on the CREDICARDND column of the CREDITCARDINFO table. The masking policy definition Is as follows:

Sample data for the CREDITCARDINFO table is as follows:
NAME EXPIRYDATE CREDITCARDNO
JOHN DOE 2022-07-23 4321 5678 9012 1234
if the Snowflake system rotes have not been granted any additional roles, what will be the result?

The sysadmin can see the CREDICARDND column data in clear text.

The owner of the table will see the CREDICARDND column data in clear text.

Anyone with the Pl_ANALYTICS role will see the last 4 characters of the CREDICARDND column data in dear text.

Anyone with the Pl_ANALYTICS role will see the CREDICARDND column as*** ‘MASKED* **’.

NEW QUESTION 45
A table contains five columns and it has millions of records. The cardinality distribution of the columns is shown below:

Column C4 and C5 are mostly used by SELECT queries in the GROUP BY and ORDER BY clauses. Whereas columns C1, C2 and C3 are heavily used in filter and join conditions of SELECT queries.
The Architect must design a clustering key for this table to improve the query performance.
Based on Snowflake recommendations, how should the clustering key columns be ordered while defining the multi-column clustering key?

C5, C4, C2

C3, C4, C5

C1, C3, C2

C2, C1, C3

NEW QUESTION 46
How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?

Create multiple clustering keys for a table.

Create multiple materialized views with different cluster keys.

Create super projections that will automatically create clustering.

Create a clustering key that contains all columns used in the access paths.

NEW QUESTION 47
What integration object should be used to place restrictions on where data may be exported?

Stage integration

Security integration

Storage integration

API integration

According to the SnowPro Advanced: Architect documents and learning resources, the integration object that should be used to place restrictions on where data may be exported is the security integration. A security integration is a Snowflake object that provides an interface between Snowflake and third-party security services, such as Okta, Duo, or Google Authenticator. A security integration can be used to enforce policies on data export, such as requiring multi-factor authentication (MFA) or restricting the export destination to a specific network or domain. A security integration can also be used to enable single sign-on (SSO) or federated authentication for Snowflake users1.
The other options are incorrect because they are not integration objects that can be used to place restrictions on where data may be exported. Option A is incorrect because a stage integration is not a valid type of integration object in Snowflake. A stage is a Snowflake object that references a location where data files are stored, such as an internal stage, an external stage, or a named stage. A stage is not an integration object that provides an interface between Snowflake and third-party services2. Option C is incorrect because a storage integration is a Snowflake object that provides an interface between Snowflake and external cloud storage, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. A storage integration can be used to securely access data files from external cloud storage without exposing the credentials, but it cannot be used to place restrictions on where data may be exported3. Option D is incorrect because an API integration is a Snowflake object that provides an interface between Snowflake and third-party services that use REST APIs, such as Salesforce, Slack, or Twilio. An API integration can be used to securely call external REST APIs from Snowflake using the CALL_EXTERNAL_API function, but it cannot be used to place restrictions on where data may be exported4. References: CREATE SECURITY INTEGRATION | Snowflake Documentation, CREATE STAGE | Snowflake Documentation, CREATE STORAGE INTEGRATION | Snowflake Documentation, CREATE API INTEGRATION | Snowflake Documentation

NEW QUESTION 48
Your business team runs a set of identical queries every day after the batch ETL run is complete. From the following actions, what is the best action that you will recommend.

After the ETL run, execute the identical queries so that they remain in the result cache

After the ETL run, resize the warehouse to a larger warehouse

After the ETL run, copy the tables to another schema for the business users to query

NEW QUESTION 49
Which Snowflake data modeling approach is designed for BI queries?

3 NF

Star schema

Data Vault

Snowflake schema

NEW QUESTION 50
You have create a table in snowflake as below
CREATE TABLE EMPLOYEE(EMPLOYEE_NAME STRING, SALARY NUMBER); When you do a DESCRIBE TABLE EMPLOYEE, what will you see as the data type of EMPLOYEE_NAME?

VARCHAR(10)

VARCHAR

VARCHAR(16777216)

STRING