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Snowflake COF-C03日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Data Sharing | 12% | - Shares and reader accounts - Reader account management - Private sharing vs. Data Exchange - Data listing marketplace |
| Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Clustering and micro-partitions - Column types and sequences - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Data manipulation (DML operations) |
| Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Resource monitors - Organizations and accounts structure |
| Security & Access Control | 10% | - Row-level and column-level security - Governance best practices - Authentication (SSO, MFA) - Masking policies - Authorization (roles, privileges) |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
| Data Loading & Unloading | 15% | - Data ingestion best practices - Bulk loading with COPY command - Continuous loading with Snowpipe - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging |
| Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Resource optimization techniques - Query history and monitoring |
| Virtual Warehouses | 15% | - Multi-cluster warehouses - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) |
| Time Travel & Cloning | 10% | - Time travel concepts and retention - Zero-copy cloning - UNDROP and historical data access - Fail-safe concepts |
Snowflake SnowPro® Core Certification (COF-C03日本語版) Sample Questions:
1. Snowflakeのどの機能が、非構造化データの分析に自然言語クエリの使用をサポートしていますか？
A) スノーサイト
B) スノーフレーク・ホライズン・カタログ
C) スノーフレーク皮質
D) スノーフレーク ML
2. Snowflake内でクローンできるオブジェクトは何ですか？(2つ選択してください。)
A) 内部名前付きステージ
B) 外部テーブル
C) スキーマ
D) 外部名前付きステージ
E) ユーザー
3. COPY INTO <場所>コマンドを使用してデータをアンロードする場合、どのようなターゲット場所を指定できますか？
(2つ選択してください)
A) ローカルファイルシステム
B) スノーフレークスキーマ
C) 雪の結晶ステージ
D) 雪の結晶の流れ
E) Google (GCP)、AWS、またはMicrosoft Azureのクラウドストレージ
4. Snowflakeのどのアーキテクチャ層がクエリ実行プランを担当していますか？
A) クラウドプロバイダー
B) 計算する
C) データストレージ
D) クラウドサービス
5. あるチームは、Snowflakeがサポートする開発フレームワークを使用してデータ変換パイプラインを構築する計画を立てている。このフレームワークは、コンピューティング処理のプッシュダウン機能と、Snowflakeの機能とのネイティブ統合を提供する。
チームはどの機能を使うべきでしょうか？
A) Snowflake ODBC ドライバー
B) Snowflake JDBCドライバ
C) Snowflakeコネクタ(Kafka用)
D) Python用Snowpark API
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C,D | Question # 3 Answer: C,E | Question # 4 Answer: D | Question # 5 Answer: D |
