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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance Optimization & Monitoring | 4% | - Query history and monitoring - Resource optimization techniques - Query profiling and performance tuning |
| Topic 2: Time Travel & Cloning | 10% | - Zero-copy cloning - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access |
| Topic 3: Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Data ingestion best practices - Data unloading and staging - Continuous loading with Snowpipe |
| Topic 4: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 5: Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Data manipulation (DML operations) - Stored procedures and UDFs - Column types and sequences |
| Topic 6: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses |
| Topic 7: Security & Access Control | 10% | - Authorization (roles, privileges) - Governance best practices - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) |
| Topic 8: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 9: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Topic 10: Data Sharing | 12% | - Data listing marketplace - Private sharing vs. Data Exchange - Reader account management - Shares and reader accounts |
Question 1
あるユーザーが、中規模の仮想ウェアハウスを使用して大規模なテーブルに対してクエリを実行します。その後、別のユーザーが別のウェアハウスを使用して、同じテーブルに対して同じクエリを実行します。
どのキャッシュが使用されますか?
A. メタデータキャッシュとクエリ結果キャッシュ
B. ウェアハウスキャッシュとメタデータキャッシュ
C. ローカルディスクキャッシュとメタデータキャッシュ
D. クエリ結果キャッシュとウェアハウスキャッシュ
Question 2
半構造化データを走査する際に、どの表記法を用いるかにかかわらず、列名と要素名を記述する際の考慮事項は何ですか?
A. 列名は大文字と小文字を区別しませんが、要素名は大文字と小文字を区別します。
B. 列名と要素名はどちらも大文字と小文字を区別しません。
C. 列名は大文字と小文字を区別しますが、要素名は大文字と小文字を区別しません。
D. 列名と要素名はどちらも大文字と小文字を区別します。
Question 3
マルチクラスタ型データウェアハウスがエコノミースケーリングポリシーを使用している場合、別のクラスタが起動されるまでにクエリはキューでどのくらいの時間待機することになりますか?
A. 1分
B. 8分
C. 6分
D. 2分
Question 4
Snowflakeからデータをアンロードする際にサポートされているファイル形式は何ですか?(3つ選択してください。)
A. パーケット
B. JSON
C. ORC
D. XML
E. CSV
F. アブロ
Question 5
どのSnowflakeオブジェクトが、データベースレプリケーションとレプリケーショングループの両方でサポートされていますか?
A. ユーザー
B. ステージ
C. パイプ
D. マテリアライズドビュー
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: A,B,E | Question 5 Answer: C |
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SnowPro® Specialty: Gen AI Certification Exam
Snowflake Certified SnowPro Specialty - Snowpark
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