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Snowflake ARA-R01 問題集

ARA-R01

試験コード:ARA-R01

試験名称:SnowPro Advanced: Architect Recertification Exam

最近更新時間:2024-05-02

問題と解答:全163問

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無料問題集ARA-R01 資格取得

質問 1:
The IT Security team has identified that there is an ongoing credential stuffing attack on many of their organization's system.
What is the BEST way to find recent and ongoing login attempts to Snowflake?
A. View the Users section in the Account tab in the Snowflake UI and review the last login column.
B. Query the LOGIN_HISTORY view in the ACCOUNT_USAGE schema in the SNOWFLAKE database.
C. View the History tab in the Snowflake UI and set up a filter for SQL text that contains the text
"LOGIN".
D. Call the LOGIN_HISTORY Information Schema table function.
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 2:
A company is following the Data Mesh principles, including domain separation, and chose one Snowflake account for its data platform.
An Architect created two data domains to produce two data products. The Architect needs a third data domain that will use both of the data products to create an aggregate data product. The read access to the data products will be granted through a separate role.
Based on the Data Mesh principles, how should the third domain be configured to create the aggregate product if it has been granted the two read roles?
A. Use secondary roles for all users.
B. Request a technical ETL user with the sysadmin role.
C. Request that the two data domains share data using the Data Exchange.
D. Create a hierarchy between the two read roles.
正解:C
解説: (Topexam メンバーにのみ表示されます)

質問 3:
A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to deliver near real-time sales results to category managers. The stores operate in a variety of time zones and exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than others.
Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions interfaced to scoring algorithms. The source data for aggregations has over 100M rows.
Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention that includes store numbers and timestamps to identify the set of transactions contained in the files. The files are typically less than 10MB in size.
How can the near real-time results be provided to the category managers? (Select TWO).
A. The copy into command with a task scheduled to run every second should be used to achieve the near-real time requirement.
B. All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion.
C. An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs.
D. A Snowpipe should be created and configured with AUTO_INGEST = true. A stream should be created to process INSERTS into a single target table using the stream metadata to inform the store number and timestamps.
E. A stream should be created to accumulate the near real-time data and a task should be created that runs at a frequency that matches the real-time analytics needs.
正解:D,E
解説: (Topexam メンバーにのみ表示されます)

質問 4:
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?
A. CREATE TABLE Recover_Data CLONE Data AT(OFFSET => -60*5);
B. CREATE CLONE Recover_Data FROM Data AT(OFFSET => -60*5);
C. CREATE CLONE TABLE Recover_Data FROM Data AT(OFFSET => -60*5);
D. CREATE TABLE Recover Data CLONE Data AT(TIME => -60*5);
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 5:
Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?
A. Schema-on-read
B. Information schema
C. IDEF1X
D. Schema-on-write
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 6:
An Architect needs to grant a group of ORDER_ADMIN users the ability to clean old data in an ORDERS table (deleting all records older than 5 years), without granting any privileges on the table. The group's manager (ORDER_MANAGER) has full DELETE privileges on the table.
How can the ORDER_ADMIN role be enabled to perform this data cleanup, without needing the DELETE privilege held by the ORDER_MANAGER role?
A. This scenario would actually not be possible in Snowflake - any user performing a DELETE on a table requires the DELETE privilege to be granted to the role they are using.
B. Create a stored procedure that runs with caller's rights, including the appropriate "> 5 years" business logic, and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.
C. Create a stored procedure that runs with owner's rights, including the appropriate "> 5 years" business logic, and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.
D. Create a stored procedure that can be run using both caller's and owner's rights (allowing the user to specify which rights are used during execution), and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.
正解:C
解説: (Topexam メンバーにのみ表示されます)

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Snowflake SnowPro Advanced: Architect Recertification 認定 ARA-R01 試験問題:

1. Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

A) Schema-on-read
B) Information schema
C) IDEF1X
D) Schema-on-write


2. Which columns can be included in an external table schema? (Select THREE).

A) METADATASROW_ID
B) METADAT A$ FILENAME
C) METADATASEXTERNAL TABLE PARTITION
D) VALUE
E) METADATASISUPDATE
F) METADATAS FILE_ROW_NUMBER


3. A Snowflake Architect is designing a multi-tenant application strategy for an organization in the Snowflake Data Cloud and is considering using an Account Per Tenant strategy.
Which requirements will be addressed with this approach? (Choose two.)

A) Security and Role-Based Access Control (RBAC) policies must be simple to configure.
B) Compute costs must be optimized.
C) Tenant data shape may be unique per tenant.
D) There needs to be fewer objects per tenant.
E) Storage costs must be optimized.


4. A company has several sites in different regions from which the company wants to ingest data.
Which of the following will enable this type of data ingestion?

A) The company should use a storage integration for the external stage.
B) The company must have a Snowflake account in each cloud region to be able to ingest data to that account.
C) The company must replicate data between Snowflake accounts.
D) The company should provision a reader account to each site and ingest the data through the reader accounts.


5. A company is designing its serving layer for data that is in cloud storage. Multiple terabytes of the data will be used for reporting. Some data does not have a clear use case but could be useful for experimental analysis.
This experimentation data changes frequently and is sometimes wiped out and replaced completely in a few days.
The company wants to centralize access control, provide a single point of connection for the end-users, and maintain data governance.
What solution meets these requirements while MINIMIZING costs, administrative effort, and development overhead?

A) Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables.
Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.
B) Import the data used for reporting into a Snowflake schema with native tables. Then create external tables pointing to the cloud storage folders used for the experimentation data. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.
C) Import the data used for reporting into a Snowflake schema with native tables. Then create views that have SELECT commands pointing to the cloud storage files for the experimentation data. Then create two different roles to match the different user personas, and grant these roles to the corresponding users.
D) Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables.
Then create a role that has access to this schema and manage access to the data through that role.


質問と回答:

質問 # 1
正解: A
質問 # 2
正解: B、D、F
質問 # 3
正解: A、C
質問 # 4
正解: A
質問 # 5
正解: B

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