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Snowflake COF-C03日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Databases, Tables & Views | 18% | - Column types and sequences - Data manipulation (DML operations) - Views (standard, materialized, secure) - Stored procedures and UDFs - Clustering and micro-partitions - Table types (permanent, transient, temporary) |
| Account Objects | 8% | - Organizations and accounts structure - Resource monitors - Warehouses, databases, and schemas hierarchy |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Data Loading & Unloading | 15% | - Data ingestion best practices - Continuous loading with Snowpipe - Data unloading and staging - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) |
| Security & Access Control | 10% | - Authorization (roles, privileges) - Governance best practices - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) |
| Virtual Warehouses | 15% | - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse creation and configuration |
| Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Performance Optimization & Monitoring | 4% | - Query history and monitoring - Query profiling and performance tuning - Resource optimization techniques |
| Data Sharing | 12% | - Reader account management - Shares and reader accounts - Data listing marketplace - Private sharing vs. Data Exchange |
| Time Travel & Cloning | 10% | - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access - Zero-copy cloning |
Snowflake SnowPro® Core Certification (COF-C03日本語版) Sample Questions:
1. 次のうち、テーブルにクラスタリングキーを使用することが適切である可能性を示すものはどれですか？(2つ選択してください)。
A) テーブルのクラスタリング深度が大きい
B) テーブルにはカーディナリティが非常に低い列が含まれています
C) テーブルに対して発行される DML ステートメントはブロックされます
D) テーブルに対するクエリの実行速度が予想より遅い。
E) テーブルには少数のマイクロパーティションがあります
2. Snowflakeのどの関数が、入力文字列をJSONドキュメントとして解釈し、VARIANT値を生成しますか？
A) json_extract_path_text()
B) フラット化
C) parse_json()
D) オブジェクト構築()
3. 部分的なデータセットの読み込みを回避するために使用する COPY INTO <テーブル> パラメータはどれですか？
A) LOAD_UNCERTAIN_FILES = FALSE
B) 強制＝偽
C) RETURN_FAILED_ONLY = FALSE
D) ON_ERROR = ABORT_STATE
4. クエリプロファイルには、大規模の仮想ウェアハウスで実行されたクエリのメトリックが表示されます。
クエリのパフォーマンスを向上させるには、どのような手順を踏めば良いでしょうか？(2つ選択してください。)
A) MAX_CLUSTER_COUNTを増やします。
B) 倉庫のAUTO_SUSPEND期間を延長します。
C) WAREHOUSE_SIZEを増やします。
D) 倉庫を最大化モードで実行します。
E) クエリのWHERE句を更新します。
5. 継続的データ保護(CDP)に関連する以下の機能のうち、Snowflakeが提供する追加のデータストレージを必要とするものはどれですか？(2つ選択してください。)
A) 外部ステージ
B) タイムトラベル
C) フェイルセーフ
D) トライシークレットセキュア
E) データ暗号化
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C,E | Question # 5 Answer: B,C |
