This research focuses on analyzing the interrogative utterances of three mainactors in New Moon Film Subtitle. The aims of the research are 1) to find out thetypes of illocutionary acts 2) to find out the translation techniques, and 3) to find outthe quality of translation product of the data.    This is a descriptive-qualitative research and a single embedded-case studywhich focuses only on some particular cases. In research findings, there will bepresented the result of analysis; illocutionary acts, translation techniques andtranslation quality. The result of translation quality assessment is obtained from theresult of questionnaire given to the three raters and five respondents. The result of types of illocutionary acts that appear in New Moon filmsubtitle from the interrogative utterances of the three main actors from 76 total dataare verditives (5 data), exercitives (4 data), expositives (9 data) and behabitives (6data). The rest 52 data are analyzed as pure question. The researcher also found thatthere are 12 translation techniques that are used by the translator in translating thedata. They are variation, established equivalent, reduction, borrowing, transposition,amplification, literal translation, particularization, generalization, linguisticcompression, linguistic amplification, and modulation techniques. The results oftranslation quality assessment (TQA) are 68.42% accurate and 31.58% lessaccurate, 84.21% acceptable and 15.79% less acceptable, and 94.74% readable and5.26% less readable.  From the result of TQA, no data are considered inaccurate,inacceptable and not readable. In conclusion, the result of the TQA shows that the translation has goodquality based on the score given by the raters. One of the factors that influence thegood translation quality is the proper choice of translation technique by thetranslator when translating the text. The translator should also consider the contextof the text to produce a good translation. The illocutionary acts analysis shows thatan utterance may have another meaning based on the context.