TOEIC リスニング パート 3 — 問題
パッセージ
Subject: Follow-up: Artificial Intelligence Workshop Registration
Dear Ms. Evans,
I hope this email finds you well.
I am writing to follow up on my registration for the upcoming Artificial Intelligence Workshop scheduled for next Friday. I completed the online form yesterday but did not receive a confirmation email. Could you please verify if my registration was successful?
Additionally, I would like to inquire about the specific software or tools recommended for the hands-on sessions. Knowing this in advance would allow me to prepare accordingly.
Thank you for your time and assistance.
Sincerely,
David Chen
Marketing Associate
問題
What is the subject of the upcoming event?
選択肢
- A. Advanced data analysis
- B. Machine learning algorithms
- C. Artificial intelligence workshop ✓
- D. Business analytics strategies
正解
C. Artificial intelligence workshop
解説
[KO]
📖 지문 해석 — 이메일은 Ms. Evans에게 보내졌으며, 발신자는 인공지능 워크숍 등록에 대한 후속 조치를 취하고 있습니다. 발신자는 지난주에 온라인 양식을 작성했지만 확인 이메일을 받지 못했으므로 등록 성공 여부를 확인하고 싶어 합니다. 또한 실습 세션에 필요한 소프트웨어 또는 도구에 대해 문의하고 있습니다.
📝 정답이유 — 문제에서 "upcoming event"의 주제를 묻고 있으며, 이메일 제목과 본문에서 "Artificial Intelligence Workshop"이라는 문구가 명확하게 언급되어 있습니다. 이는 이메일의 주요 초점이 되는 행사를 직접적으로 나타냅니다.
💡 실전팁 — Part 3 질문에서 "what is the subject/topic/purpose"와 같은 키워드가 나오면, 지문(이메일, 편지, 공지 등)의 제목, 첫 문단, 또는 목적을 나타내는 표현("I am writing to...", "This is regarding...")에 주목하세요.
📊 오답분석 — X) Advanced data analysis — 본문에서 직접적으로 언급되지 않은 세부 주제입니다. X) Machine learning algorithms — 인공지능의 하위 분야일 수 있으나, 워크숍의 전체적인 주제로 명시되지 않았습니다. X) Business analytics strategies — 워크숍 주제와 전혀 관련 없는 내용입니다.
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[JA]
📖 本文の和訳 — このメールはMs. Evans宛てで、送信者は人工知能ワークショップへの登録についてフォローアップしています。送信者は昨日オンラインフォームを送信しましたが、確認メールを受け取っていないため、登録が成功したか確認したいと考えています。また、実践セッションで推奨される特定のソフトウェアやツールについても問い合わせたいと考えています。
📝 正解理由 — 質問は「今後のイベント」の主題を尋ねており、メールの件名と本文の両方で「Artificial Intelligence Workshop」というフレーズが明確に言及されています。これは、メールの主な焦点であるイベントを直接指しています。
💡 試験対策 — Part 3 の質問で「主題、トピック、目的」などを尋ねるキーワードが出た場合、本文（メール、手紙、通知など）の件名、冒頭の段落、または目的を示す表現（「I am writing to...」「This is regarding...」など）に注意してください。
📊 不正解選択肢の分析 — X) Advanced data analysis — 本文で直接言及されていない、より詳細なサブトピックです。 X) Machine learning algorithms — 人工知能のサブフィールドである可能性はありますが、ワークショップ全体の主題としては特定されていません。 X) Business analytics strategies — ワークショップの主題とは全く関係のない内容です。
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[TH]
📖 การแปลบทอ่าน — อีเมลนี้ส่งถึงคุณ Evans และผู้ส่งกำลังติดตามการลงทะเบียนเข้าร่วมเวิร์กชอปปัญญาประดิษฐ์ ผู้ส่งได้กรอกแบบฟอร์มออนไลน์เมื่อวานนี้แต่ไม่ได้รับอีเมลยืนยัน จึงต้องการตรวจสอบว่าการลงทะเบียนสำเร็จหรือไม่ นอกจากนี้ ผู้ส่งยังสอบถามเกี่ยวกับซอฟต์แวร์หรือเครื่องมือเฉพาะที่แนะนำสำหรับช่วงฝึกปฏิบัติ
📝 เหตุผลที่เลือกคำตอบ — คำถามถามถึงเรื่องของ "งานอีเวนต์ที่กำลังจะมาถึง" และข้อความ "Artificial Intelligence Workshop" ถูกกล่าวถึงอย่างชัดเจนทั้งในหัวเรื่องและเนื้อหาของอีเมล นี่คือสิ่งที่บ่งบอกถึงงานอีเวนต์ที่เป็นจุดสนใจหลักของอีเมลโดยตรง
💡 เคล็ดลับสำหรับวันสอบ — หากคำถามใน Part 3 มีคำสำคัญ เช่น "subject", "topic", หรือ "purpose" ให้มองหาหัวเรื่องของเรื่อง (เช่น หัวอีเมล, หัวจดหมาย, หัวข้อประกาศ), ย่อหน้าแรก, หรือวลีที่บ่งบอกถึงวัตถุประสงค์ ("I am writing to...", "This is regarding...")
📊 การวิเคราะห์ตัวเลือกที่ผิด — X) Advanced data analysis — เป็นหัวข้อวิเคราะห์ข้อมูลขั้นสูงซึ่งไม่ได้กล่าวถึงโดยตรงในเนื้อหา X) Machine learning algorithms — เป็นหัวข้อย่อยของปัญญาประดิษฐ์ แต่อีเมลไม่ได้ระบุว่าเป็นหัวข้อหลักของเวิร์กชอป X) Business analytics strategies — เป็นกลยุทธ์การวิเคราะห์ธุรกิจซึ่งไม่เกี่ยวข้องกับหัวข้อของเวิร์กชอปนี้เลย
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[VI]
📖 Dịch đoạn văn — Email này gửi đến Bà Evans và người gửi đang theo dõi việc đăng ký hội thảo Trí tuệ Nhân tạo. Người gửi đã hoàn thành biểu mẫu trực tuyến ngày hôm qua nhưng chưa nhận được email xác nhận, vì vậy muốn kiểm tra xem việc đăng ký có thành công không. Ngoài ra, người gửi cũng muốn hỏi về các phần mềm hoặc công cụ cụ thể được đề xuất cho các buổi thực hành.
📝 Lý do chọn câu trả lời — Câu hỏi đang hỏi về chủ đề của "sự kiện sắp tới" và cụm từ "Artificial Intelligence Workshop" được đề cập rõ ràng ở cả tiêu đề và nội dung của email. Điều này trực tiếp chỉ ra sự kiện là trọng tâm chính của email.
💡 Mẹo làm bài thi — Trong các câu hỏi Part 3, nếu gặp từ khóa như "subject", "topic", hoặc "purpose", hãy chú ý đến tiêu đề của tài liệu (ví dụ: tiêu đề email, tiêu đề thư, tiêu đề thông báo), đoạn văn đầu tiên, hoặc các cụm từ chỉ mục đích ("I am writing to...", "This is regarding...").
📊 Phân tích lựa chọn sai — X) Advanced data analysis — Đây là một chủ đề con không được đề cập trực tiếp trong nội dung. X) Machine learning algorithms — Có thể là một lĩnh vực phụ của trí tuệ nhân tạo, nhưng không được nêu rõ là chủ đề tổng thể của hội thảo. X) Business analytics strategies — Đây là các chiến lược phân tích kinh doanh, hoàn toàn không liên quan đến chủ đề của hội thảo này.
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[ID]
📖 Terjemahan Teks — Email ini ditujukan kepada Bapak/Ibu Evans dan pengirim menindaklanjuti pendaftaran lokakarya Kecerdasan Buatan. Pengirim telah menyelesaikan formulir daring kemarin tetapi belum menerima email konfirmasi, sehingga ingin memastikan apakah pendaftaran berhasil. Selain itu, pengirim juga ingin menanyakan perangkat lunak atau alat spesifik yang direkomendasikan untuk sesi praktik.
📝 Alasan Memilih Jawaban — Pertanyaan menanyakan tentang subjek "acara mendatang", dan frasa "Artificial Intelligence Workshop" disebutkan dengan jelas baik dalam subjek maupun isi email. Hal ini secara langsung menunjukkan acara tersebut sebagai fokus utama email.
💡 Tips Hari Ujian — Dalam pertanyaan Part 3, jika Anda menemukan kata kunci seperti "subject", "topic", atau "purpose", perhatikanlah judul dokumen (misalnya, subjek email, judul surat, judul pengumuman), paragraf pembuka, atau frasa yang menunjukkan tujuan ("I am writing to...", "This is regarding...").
📊 Analisis Opsi Jawaban Salah — X) Advanced data analysis — Ini adalah sub-topik yang tidak disebutkan secara langsung dalam teks. X) Machine learning algorithms — Ini bisa menjadi sub-bidang dari kecerdasan buatan, tetapi tidak disebutkan sebagai topik keseluruhan lokakarya. X) Business analytics strategies — Ini adalah strategi analitik bisnis, sama sekali tidak terkait dengan topik lokakarya ini.
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[MS]
📖 Terjemahan Petikan — E-mel ini ditujukan kepada Puan Evans dan pengirim sedang membuat susulan mengenai pendaftaran bengkel Kepintaran Buatan. Pengirim telah melengkapkan borang dalam talian semalam tetapi belum menerima e-mel pengesahan, jadi mereka ingin mengesahkan sama ada pendaftaran mereka berjaya. Selain itu, pengirim juga ingin bertanya tentang perisian atau alatan khusus yang disyorkan untuk sesi amali.
📝 Sebab Jawapan Dipilih — Soalan bertanya tentang subjek "acara yang bakal datang", dan frasa "Artificial Intelligence Workshop" disebut dengan jelas dalam kedua-dua subjek dan badan e-mel. Ini secara langsung menunjukkan acara tersebut sebagai fokus utama e-mel.
💡 Petua Hari Ujian — Dalam soalan Bahagian 3, jika anda menjumpai kata kunci seperti "subject", "topic", atau "purpose", beri perhatian kepada tajuk dokumen (contohnya, subjek e-mel, tajuk surat, tajuk notis), perenggan pertama, atau frasa yang menunjukkan tujuan ("I am writing to...", "This is regarding...").
📊 Analisis Pilihan Jawapan Salah — X) Advanced data analysis — Ini adalah sub-topik yang tidak disebut secara langsung dalam petikan. X) Machine learning algorithms — Ini mungkin bidang pecahan kepintaran buatan, tetapi tidak dinyatakan sebagai topik keseluruhan bengkel. X) Business analytics strategies — Ini adalah strategi analitik perniagaan, langsung tidak berkaitan dengan topik bengkel ini.
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[PT-BR]
📖 Tradução da Passagem — Este e-mail é endereçado à Sra. Evans e o remetente está acompanhando o registro para o workshop de Inteligência Artificial. O remetente completou o formulário online ontem, mas não recebeu um e-mail de confirmação, portanto, gostaria de verificar se o registro foi bem-sucedido. Além disso, o remetente gostaria de perguntar sobre os softwares ou ferramentas específicos recomendados para as sessões práticas.
📝 Motivo da Resposta Correta — A pergunta está solicitando o assunto do "próximo evento", e a frase "Artificial Intelligence Workshop" é mencionada claramente tanto no assunto quanto no corpo do e-mail. Isso indica diretamente o evento como o foco principal do e-mail.
💡 Dica para o Dia da Prova — Nas perguntas da Parte 3, se você encontrar palavras-chave como "subject", "topic", ou "purpose", preste atenção ao título do documento (por exemplo, assunto do e-mail, título da carta, título do aviso), ao primeiro parágrafo, ou a frases que indicam o propósito ("I am writing to...", "This is regarding...").
📊 Análise das Opções Erradas — X) Advanced data analysis — Este é um subtópico não mencionado diretamente no texto. X) Machine learning algorithms — Pode ser um subcampo da inteligência artificial, mas não é declarado como o tópico geral do workshop. X) Business analytics strategies — Estas são estratégias de análise de negócios, completamente não relacionadas ao tópico deste workshop.
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[MY]
📖 ပetään; E-may; htwat hyan; swè: myauq; htwam;: Mra: Ewans; pyin: Mra: Ewans; tèl: twè; koun: myauq; n'mè: htwè: myè: pyin: pyi: Mra: na: Mra: A-rè: htwam;: Myat; htwam; htwam; htwam;: Mra: tàm; htè: htwam; Mra: htauq; Mra: htwam; Mra: htè: Mra: htwam; htwam; htwam; htwam; Mra: myi: htwam;: htè: Mra: myi: myi: Mra: Mra: Mra: myi: Mra: myi: Mra: twè: htwam;: A-rè: htwam;: Mra: myi: Mra: htwam;: A-rè: tway: htwam;
📝 a-nya: htwam; nyi: Mra: htwam; n'mè: a-rè: a-nya: Myat; htwam;: Myat; htwam; htè: A-rè: htway: htwam; n'mè: A-rè: htwam; htè: Mra: A-rè: htway: htway; kyan; kyan; htwam;: n'mè: htway: htway; kyan; kyan; Mra: htway: htway; kyan; kyan; Mra: htway: htway; kyan; kyan; a-nya: htwam; Mra: htway: htway; kyan; kyan; Myat; htwam; n'myè: htway: htway; kyan;: Mra: A-rè: htway: htway; kyan;: Ya: htway: htway; kyan; myin; htway: htway; kyan; Mra: htway: htway; kyan; Mra: htway: htway; kyan;: htway: htway; kyan;
💡 Mra: ta: Mra: ta: Ta: Mra: ta: Mra: ta: Mra: ta: Ta: Ta: Aja: Mra: ta: Mra: ta: Mra: ta: Aja: A-nya: Ta: Ta: Mra: ta: Mra: ta: Ta: Ta: Aja: Mra: ta: Mra: ta: Ta: Ta: Aja: Myat; htwam; n'mè: a-rè: Myat; htwam; n'mè: myän; Mra: A-rè: htway: htway; kyan; Mra: htway: htway; kyan; myin; ❝I am writing to...❞, ❝This is regarding...❞
📊 Mra: Myat; htwam; Ma: htwam;: X) Advanced data analysis — A-rè: Myat; htwam; n'mè: htway: htway; kyan; Mra: htway: htway; kyan; myän; htway: htway; kyan; X) Machine learning algorithms — A-rè: Myat; htwam; n'mè: Myat; htwam; htway: htway; kyan; myän;: A-rè: htway: htway; kyan; Myat; htwam; n'mè: n'mè: htway: htway; kyan; X) Business analytics strategies — A-rè: htway: htway; kyan; Mra: htway: htway; kyan; myän;: A-rè: htway: htway; kyan;
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[ZH-TW]
📖 文章翻譯 — 主旨：後續追蹤：人工智慧研討會報名
親愛的 Evans 女士，
希望您一切安好。
我寫這封郵件是為了追蹤我即將參加的人工智慧研討會的報名事宜，該研討會定於下週五舉行。我昨天填寫了線上報名表格，但尚未收到確認電子郵件。能否請您確認我的報名是否成功？
此外，我想詢問一下，針對動手實作的環節，是否有推薦的特定軟體或工具？若能事先得知，將有助於我做好準備。
感謝您的時間與協助。
選項：["進階數據分析","機器學習演算法","人工智慧研討會","商業分析策略"]
Correct answer index (0-based): 2
📝 答案解析 — 正確答案是「人工智慧研討會」。文章的主旨（Subject）開頭就明確寫著「人工智慧研討會報名」，內文也多次提及「artificial intelligence workshop」（人工智慧研討會），這是最直接且涵蓋全文的訊息。
💡 應試技巧 — 閱讀或聆聽時，務必留意開頭的主旨（Subject/Topic）或開場白，這通常會直接點出討論的核心內容，是快速掌握考點的關鍵。
📊 錯誤選項分析 — X) 進階數據分析 — 文章雖提及「prepare accordingly」（做好準備），並詢問「specific software or tools」（特定軟體或工具），但並未限定在「進階數據分析」的範疇。 X) 機器學習演算法 — 「機器學習演算法」是人工智慧的其中一個子領域，但文章的主題更廣泛，並非僅限於此。 X) 商業分析策略 — 文章沒有任何關於「商業」或「策略」的內容，主題是技術研討會。
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[EN]
📖 Passage Translation — This email is addressed to Ms. Evans and the sender is following up on their registration for an Artificial Intelligence Workshop. The sender completed the online form yesterday but did not receive a confirmation email, so they want to verify if their registration was successful. Additionally, they wish to inquire about the specific software or tools recommended for the hands-on sessions.
📝 Why this answer — The question asks for the subject of the "upcoming event", and the phrase "Artificial Intelligence Workshop" is explicitly mentioned in both the subject line and the body of the email. This directly identifies the event as the primary focus of the email.
💡 Test-day tip — For Part 3 questions asking about the "subject", "topic", or "purpose", pay close attention to the document's title (e.g., email subject, letter heading, notice title), the opening paragraph, or phrases indicating purpose (like "I am writing to...", "This is regarding...").
📊 Wrong-option analysis — X) Advanced data analysis — This is a more specific sub-topic not directly mentioned as the main subject. X) Machine learning algorithms — While a related field, it's not explicitly stated as the overall subject of the workshop. X) Business analytics strategies — This topic is completely unrelated to the subject of the workshop described.