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素晴らしいARA-C01合格体験記 &合格スムーズARA-C01日本語認定 |一生懸命にARA-C01無料ダウンロード

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JpshikenのARA-C01問題集はあなたを楽に試験の準備をやらせます。それに、もし最初で試験を受ける場合、試験のソフトウェアのバージョンを使用することができます。これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから。このソフトで、あなたは事前に実際の試験を感じることができます。そうすれば、実際のARA-C01試験を受けるときに緊張をすることはないです。ですから、心のリラックスした状態で試験に出る問題を対応することができ、あなたの正常なレベルをプレイすることもできます。

Snowflake ARA-C01（SnowPro Advanced Architect Certification）試験は、Snowflakeアーキテクチャと設計の高度なスキルを証明したいプロフェッショナル向けに設計された認定試験です。データモデリング、データウェアハウジング、データセキュリティ、パフォーマンス最適化、Snowflake管理など、さまざまなトピックをカバーする包括的な試験です。

Snowflake ARA-C01試験は、データウェアハウジング、クラウドコンピューティング、およびデータ分析に関連する広範なトピックをカバーする包括的なテストです。この試験は、Snowflakeのクラウドデータプラットフォームを使用してスケーラブルで高性能なデータウェアハウス、データレイク、およびデータパイプラインを設計および実装する候補者の能力を評価するように設計されています。

Snowflake ARA-C01（SnowPro Advanced Architect Certification）認定試験は、高度なSnowflakeアーキテクチャに精通した専門家が自分の専門知識を証明するために設計された包括的な認定プログラムです。この認定プログラムは、Snowflakeのアーキテクチャと設計原則に深い理解を持ち、ビジネス要件をスケーラブルで安全で高性能なSnowflakeソリューションに変換できる個人のスキルと知識を検証することを目的としています。

>> ARA-C01合格体験記 <<

Snowflake ARA-C01日本語認定 & ARA-C01無料ダウンロード

ARA-C01試験問題を選択した後は、プロセス全体を主導する傾向があるため、販売後のサービスプロバイダーとして常に知られています。したがって、ARA-C01ラーニングガイドについて悩む必要はありません。 ARA-C01トレーニング資料は、パフォーマンスの向上とARA-C01試験の包括的なサービスに対する情熱を引き続き追求します。世界中のアフターセールススタッフがオンラインになり、お客様の疑問を安心させるだけでなく、すべての顧客に対する困難や不安を排除します。パズルを教えてください。一緒に考えてみましょう。

Snowflake SnowPro Advanced Architect Certification 認定 ARA-C01 試験問題 (Q73-Q78):

質問 # 73
When using the Snowflake Connector for Kafka, what data formats are supported for the messages? (Choose two.)

A. CSV
B. Avro
C. Parquet
D. XML
E. JSON

正解：B、E

解説：
The data formats that are supported for the messages when using the Snowflake Connector for Kafka are Avro and JSON. These are the two formats that the connector can parse and convert into Snowflake table rows. The connector supports both schemaless and schematized JSON, as well as Avro with or without a schema registry1. The other options are incorrect because they are not supported data formats for the messages. CSV, XML, and Parquet are not formats that the connector can parse and convert into Snowflake table rows. If the messages are in these formats, the connector will load them as VARIANT data type and store them as raw strings in the table2. References: Snowflake Connector for Kafka | Snowflake Documentation, Loading Protobuf Data using the Snowflake Connector for Kafka | Snowflake Documentation

質問 # 74
Based on the Snowflake object hierarchy, what securable objects belong directly to a Snowflake account? (Select THREE).

A. Stage
B. Schema
C. Role
D. Database
E. Warehouse
F. Table

正解：C、D、E

解説：
A securable object is an entity to which access can be granted in Snowflake. Securable objects include databases, schemas, tables, views, stages, pipes, functions, procedures, sequences, tasks, streams, roles, warehouses, and shares1.
The Snowflake object hierarchy is a logical structure that organizes the securable objects in a nested manner. The top-most container is the account, which contains all the databases, roles, and warehouses for the customer organization. Each database contains schemas, which in turn contain tables, views, stages, pipes, functions, procedures, sequences, tasks, and streams. Each role can be granted privileges on other roles or securable objects. Each warehouse can be used to execute queries on securable objects2.
Based on the Snowflake object hierarchy, the securable objects that belong directly to a Snowflake account are databases, roles, and warehouses. These objects are created and managed at the account level, and do not depend on any other securable object. The other options are not correct because:
Schemas belong to databases, not to accounts. A schema must be created within an existing database3.
Tables belong to schemas, not to accounts. A table must be created within an existing schema4.
Stages belong to schemas or tables, not to accounts. A stage must be created within an existing schema or table.
Reference:
1: Overview of Access Control | Snowflake Documentation
2: Securable Objects | Snowflake Documentation
3: CREATE SCHEMA | Snowflake Documentation
4: CREATE TABLE | Snowflake Documentation
[5]: CREATE STAGE | Snowflake Documentation

質問 # 75
A company wants to deploy its Snowflake accounts inside its corporate network with no visibility on the internet. The company is using a VPN infrastructure and Virtual Desktop Infrastructure (VDI) for its Snowflake users. The company also wants to re-use the login credentials set up for the VDI to eliminate redundancy when managing logins.
What Snowflake functionality should be used to meet these requirements? (Choose two.)

A. Use a proxy Snowflake account outside the VPN, enabling client redirect for user logins.
B. Set up SSO for federated authentication.
C. Use private connectivity from a cloud provider.
D. Provision a unique company Tri-Secret Secure key.
E. Set up replication to allow users to connect from outside the company VPN.

正解：B、C

解説：
According to the SnowPro Advanced: Architect documents and learning resources, the Snowflake functionality that should be used to meet these requirements are:
Use private connectivity from a cloud provider. This feature allows customers to connect to Snowflake from their own private network without exposing their data to the public Internet. Snowflake integrates with AWS PrivateLink, Azure Private Link, and Google Cloud Private Service Connect to offer private connectivity from customers' VPCs or VNets to Snowflake endpoints. Customers can control how traffic reaches the Snowflake endpoint and avoid the need for proxies or public IP addresses123.
Set up SSO for federated authentication. This feature allows customers to use their existing identity provider (IdP) to authenticate users for SSO access to Snowflake. Snowflake supports most SAML 2.0-compliant vendors as an IdP, including Okta, Microsoft AD FS, Google G Suite, Microsoft Azure Active Directory, OneLogin, Ping Identity, and PingOne. By setting up SSO for federated authentication, customers can leverage their existing user credentials and profile information, and provide stronger security than username/password authentication4.
The other options are incorrect because they do not meet the requirements or are not feasible. Option A is incorrect because setting up replication does not allow users to connect from outside the company VPN. Replication is a feature of Snowflake that enables copying databases across accounts in different regions and cloud platforms. Replication does not affect the connectivity or visibility of the accounts5. Option B is incorrect because provisioning a unique company Tri-Secret Secure key does not affect the network or authentication requirements. Tri-Secret Secure is a feature of Snowflake that allows customers to manage their own encryption keys for data at rest in Snowflake, using a combination of three secrets: a master key, a service key, and a security password. Tri-Secret Secure provides an additional layer of security and control over the data encryption and decryption process, but it does not enable private connectivity or SSO6. Option E is incorrect because using a proxy Snowflake account outside the VPN, enabling client redirect for user logins, is not a supported or recommended way of meeting the requirements. Client redirect is a feature of Snowflake that allows customers to connect to a different Snowflake account than the one specified in the connection string. This feature is useful for scenarios such as cross-region failover, data sharing, and account migration, but it does not provide private connectivity or SSO7. Reference: AWS PrivateLink & Snowflake | Snowflake Documentation, Azure Private Link & Snowflake | Snowflake Documentation, Google Cloud Private Service Connect & Snowflake | Snowflake Documentation, Overview of Federated Authentication and SSO | Snowflake Documentation, Replicating Databases Across Multiple Accounts | Snowflake Documentation, Tri-Secret Secure | Snowflake Documentation, Redirecting Client Connections | Snowflake Documentation

質問 # 76
What are some of the characteristics of result set caches? (Choose three.)

A. The data stored in the result cache will contribute to storage costs.
B. Time Travel queries can be executed against the result set cache.
C. The retention period can be reset for a maximum of 31 days.
D. Snowflake persists the data results for 24 hours.
E. The result set cache is not shared between warehouses.
F. Each time persisted results for a query are used, a 24-hour retention period is reset.

正解：C、D、F

解説：
Comprehensive and Detailed Explanation: According to the SnowPro Advanced: Architect documents and learning resources, some of the characteristics of result set caches are:
Snowflake persists the data results for 24 hours. This means that the result set cache holds the results of every query executed in the past 24 hours, and can be reused if the same query is submitted again and the underlying data has not changed1.
Each time persisted results for a query are used, a 24-hour retention period is reset. This means that the result set cache extends the lifetime of the results every time they are reused, up to a maximum of 31 days from the date and time that the query was first executed1.
The retention period can be reset for a maximum of 31 days. This means that the result set cache will purge the results after 31 days, regardless of whether they are reused or not. After 31 days, the next time the query is submitted, a new result is generated and persisted1.
The other options are incorrect because they are not characteristics of result set caches. Option A is incorrect because Time Travel queries cannot be executed against the result set cache. Time Travel queries use the AS OF clause to access historical data that is stored in the storage layer, not the result set cache2. Option D is incorrect because the data stored in the result set cache does not contribute to storage costs. The result set cache is maintained by the service layer, and does not incur any additional charges1. Option F is incorrect because the result set cache is shared between warehouses. The result set cache is available across virtual warehouses, so query results returned to one user are available to any other user on the system who executes the same query, provided the underlying data has not changed1. Reference: Using Persisted Query Results | Snowflake Documentation, Time Travel | Snowflake Documentation

質問 # 77
When activating Tri-Secret Secure in a hierarchical encryption model in a Snowflake account, at what level is the customer-managed key used?

A. At the table level (TMK)
B. At the micro-partition level
C. At the root level (HSM)
D. At the account level (AMK)

正解：D

解説：
Tri-Secret Secure is a feature that allows customers to use their own key, called the customer-managed key (CMK), in addition to the Snowflake-managed key, to create a composite master key that encrypts the data in Snowflake. The composite master key is also known as the account master key (AMK), as it is unique for each account and encrypts the table master keys (TMKs) that encrypt the file keys that encrypt the data files. The customer-managed key is used at the account level, not at the root level, the table level, or the micro-partition level. The root level is protected by a hardware security module (HSM), the table level is protected by the TMKs, and the micro-partition level is protected by the file keys12. References:
* Understanding Encryption Key Management in Snowflake
* Tri-Secret Secure FAQ for Snowflake on AWS

質問 # 78
......

Snowflake試験に合格し、関連する認定を取得するすべての顧客のニーズを満たすために、当社の専門家はすべての顧客向けに更新システムを設計しました。 ARA-C01試験問題は毎日更新されます。当社のIT専門家は、ARA-C01試験準備が更新されているかどうかを確認する責任を負います。 ARA-C01テストの質問が更新されると、すぐにシステムがお客様にメッセージを送信します。 ARA-C01試験準備を使用する場合、更新システムをお楽しみいただき、ARA-C01試験にSnowPro Advanced Architect Certification合格することができます。

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