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[Hardware] Test ARA-C01 Passing Score & Latest ARA-C01 Exam Cost

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【Hardware】 Test ARA-C01 Passing Score & Latest ARA-C01 Exam Cost

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By practicing under the real exam scenario of this Snowflake ARA-C01 web-based practice test, you can cope with exam anxiety and appear in the final test with maximum confidence. You can change the time limit and number of questions of this Snowflake ARA-C01 web-based practice test. This customization feature of our SnowPro Advanced Architect Certification (ARA-C01) web-based practice exam aids in practicing as per your requirements. You can assess and improve your knowledge with our Snowflake ARA-C01 practice exam.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a challenging and highly respected certification for professionals who work with the Snowflake cloud data platform. It is designed to test the expertise of architects who design and build complex data solutions on the Snowflake platform. By obtaining this certification, professionals can showcase their expertise in Snowflake's cloud data platform and gain a competitive edge in the industry.
Snowflake ARA-C01 Exam is a timed, multiple-choice exam that contains 75 questions. Candidates have 120 minutes to complete the exam, and they must score at least 70% to pass. ARA-C01 exam is available in English, Japanese, and Spanish, and can be taken online from anywhere in the world. Successful candidates will receive a digital badge and certificate, which they can use to showcase their expertise in Snowflake architecture.
Snowflake ARA-C01 Certification Exam is a vendor-neutral certification, which means that it is recognized across the industry, regardless of the specific technology or solution being used. SnowPro Advanced Architect Certification certification is intended for professionals who have a deep understanding of Snowflake architecture and its various components, including data integration, data warehousing, data modeling, and data governance.
Snowflake - ARA-C01 - SnowPro Advanced Architect Certification Accurate Test Passing ScoreIf the user does not complete the mock test question in a specified time, the practice of all ARA-C01 learning materials previously done by the user will automatically uploaded to our database. The system will then generate a report based on the user's completion results, and a report can clearly understand what the user is good at. Finally, the transfer can be based on the ARA-C01 Learning Materials report to develop a learning plan that meets your requirements. With constant practice, users will find that feedback reports are getting better, because users spend enough time on our ARA-C01 learning materials.
Snowflake SnowPro Advanced Architect Certification Sample Questions (Q31-Q36):NEW QUESTION # 31
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?
  • A. A copy command at regular intervals
  • B. A pipe
  • C. An external table
  • D. A stream
Answer: B
Explanation:
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.

NEW QUESTION # 32
Which columns can be included in an external table schema? (Select THREE).
  • A. METADAT A$ FILENAME
  • B. METADATAS FILE_ROW_NUMBER
  • C. VALUE
  • D. METADATASISUPDATE
  • E. METADATASEXTERNAL TABLE PARTITION
  • F. METADATASROW_ID
Answer: A,B,C
Explanation:
An external table schema defines the columns and data types of the data stored in an external stage. All external tables include the following columns by default:
* VALUE: A VARIANT type column that represents a single row in the external file.
* METADATA$FILENAME: A pseudocolumn that identifies the name of each staged data file included in the external table, including its path in the stage.
* METADATA$FILE_ROW_NUMBER: A pseudocolumn that shows the row number for each record in a staged data file.
You can also create additional virtual columns as expressions using the VALUE column and/or the pseudocolumns. However, the following columns are not valid for external tables and cannot be included in the schema:
* METADATASROW_ID: This column is only available for internal tables and shows the unique identifier for each row in the table.
* METADATASISUPDATE: This column is only available for internal tables and shows whether the row was inserted or updated by a merge operation.
* METADATASEXTERNAL TABLE PARTITION: This column is not a valid column name and does not exist in Snowflake.
References: Introduction to External Tables, CREATE EXTERNAL TABLE

NEW QUESTION # 33
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?
  • A. Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.
  • B. Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.
  • C. Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.
  • D. Deploy a Private Data Exchange in combination with data shares for the European accounts.
Answer: A
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.

NEW QUESTION # 34
Which organization-related tasks can be performed by the ORGADMIN role? (Choose three.)
  • A. Changing the name of the organization
  • B. Changing the name of an account
  • C. Viewing a list of organization accounts
  • D. Creating an account
  • E. Enabling the replication of a database
  • F. Deleting an account
Answer: C,D,E
Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the organization-related tasks that can be performed by the ORGADMIN role are:
Creating an account in the organization. A user with the ORGADMIN role can use the CREATE ACCOUNT command to create a new account that belongs to the same organization as the current account1.
Viewing a list of organization accounts. A user with the ORGADMIN role can use the SHOW ORGANIZATION ACCOUNTS command to view the names and properties of all accounts in the organization2. Alternatively, the user can use the Admin  Accounts page in the web interface to view the organization name and account names3.
Enabling the replication of a database. A user with the ORGADMIN role can use the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function to enable database replication for an account in the organization. This allows the user to replicate databases across accounts in different regions and cloud platforms for data availability and durability4.
The other options are incorrect because they are not organization-related tasks that can be performed by the ORGADMIN role. Option A is incorrect because changing the name of the organization is not a task that can be performed by the ORGADMIN role. To change the name of an organization, the user must contact Snowflake Support3. Option D is incorrect because changing the name of an account is not a task that can be performed by the ORGADMIN role. To change the name of an account, the user must contact Snowflake Support5. Option E is incorrect because deleting an account is not a task that can be performed by the ORGADMIN role. To delete an account, the user must contact Snowflake Support. Reference: CREATE ACCOUNT | Snowflake Documentation, SHOW ORGANIZATION ACCOUNTS | Snowflake Documentation, Getting Started with Organizations | Snowflake Documentation, SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER | Snowflake Documentation, ALTER ACCOUNT | Snowflake Documentation, [DROP ACCOUNT | Snowflake Documentation]

NEW QUESTION # 35
Which Snowflake objects can be used in a data share? (Select TWO).
  • A. Standard view
  • B. Stream
  • C. Secure view
  • D. Stored procedure
  • E. External table
Answer: A,C
Explanation:
Data sharing is a feature that allows you to share selected objects in a database in your account with other Snowflake accounts. You can share the following Snowflake database objects: external tables, dynamic tables, secure views, secure materialized views, secure UDFs, and tables. However, not all of these objects can be used in a data share. A data share is a named object that encapsulates the information required to share a database. You can grant privileges on objects to a share either via a database role or directly to a share. The objects that can be granted privileges directly to a share are: standard views, secure views, secure UDFs, and tables. Therefore, the correct answer is A and B. The other options are incorrect because they cannot be granted privileges directly to a share. External tables, dynamic tables, and streams can only be shared via a database role. Stored procedures cannot be shared at all. References:
* [Introduction to Secure Data Sharing] 1
* [Working with Shares] 2
* [Choosing How to Share Database Objects] 3

NEW QUESTION # 36
......
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